SciScore for 10.1101/2021.11.03.21265876: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

When interpreting our results, the following limitations should be considered. Firstly, the analyzed sample is affected by a strong selection bias. Indeed, study participants were enrolled among individuals who voluntarily registered to undergo a serological test. In addition, the conducted survey was restricted to the population of the metropolitan city of Milan. Consequently, our sample is not representative of the age distribution and of the household composition of the Italian population and results may not reflect social behavior adopted in less urbanized areas. In particular, crude estimates retrieved from our sample suggest that, in August 2020 (i.e., before introducing the tiered restriction system), the daily mean number of contacts was 74.5% lower than that estimated for Italy by the POLYMOD study in 2008 [18]. Although it is likely that, even in the absence of strong restrictions, current social interactions could strongly differ from those adopted in the pre-pandemic period [25], these numbers should be considered in light of the sampling procedure we adopted for data collection. For this reason, instead of relying on absolute numbers, our analysis focuses on investigating the relative changes in the contact patterns observed across different time periods and at different ages. To minimize potential biases, the potential impact of tier restrictions on the number of reported contacts was assessed by adopting a regression model, where a variety of potential confound...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

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<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.02.21265778: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Ethics: All participants provided written informed consent.<br>IRB: The study was approved by the Institutional Review Board at the University of California, San Francisco.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">Those performing the assays were blinded to clinical information.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Biomarker assays: Plasma biomarker measurements were performed using the fully automated HD-X Simoa platform at two timepoints: early recovery (median 52 days) and late recovery (median 123 days).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Plasma</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We used Stata (version 16.1; StataCorp, College Station, TX) and Prism (version 9.1.2, GraphPad Software, L.L.C., San Diego, CA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>StataCorp</div><div>suggested: (Stata, RRID:SCR_012763)</div></div><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Our analysis has several important limitations. First, while recruitment was agnostic to the presence of persistent symptoms, the cohort is not representative of the general population with PASC. Second, we relied on self-report to ascertain the presence of symptoms. This risks misattribution of symptoms to neurologic causes and therefore misclassification of individuals as having CNS PASC. In addition, it is difficult to disentangle neurologic symptoms from non-neurologic symptoms which might co-occur and it is possible that differences are driven by more severe PASC in general rather than neurologic symptoms specifically. Affective symptoms may also co-occur and be inter-related. Third, we did not include any objective neurologic measurements, and studies that do include such measurements (which may include detailed neurological history and examination, neurocognitive and neuropsychiatric testing, and/or neuroimaging) are likely to be more informative. Fourth, we measured a limited set of biomarkers. Our measurements were all taken in blood, and while there are established relationships between blood and CSF measurements in other disease conditions,62,63 these have yet to be established for COVID-19.28 For this reason, more detailed studies that include CSF analyses will be critical. Finally, paired pre-pandemic specimens were not available, and it is possible that elevations in these markers among those with CNS PASC preceded SARS-CoV-2 infection. Regardless, we believe th...

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Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04362150</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Long-term Impact of Infection With Novel Coronavirus (COVID-…</td></tr></table>

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

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<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.02.21265668: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.03.21265685: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Field Sample Permit: This study adheres to the STROBE guidelines (Strengthening the Reporting of Observational Studies in Epidemiology20), and it has been conducted by a protocol approved by the National Commission for Research Ethics21 (CAAE 30350820.5.1001.0008).<br>Consent: Individual informed consent was waived due to the pandemic and to the fact that all data collected was unidentified, gathered through medical records.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data collection: Data was collected through the analysis of medical records by trained health professionals or undergraduate students (from Medical and Nursing schools) using Research Data Capture (REDCap) tools.22 In the medical records, data collected concerned demographic and clinical characteristics, comorbidities, medication in use prior to admission, COVID-19 symptoms, clinical evaluation at admission, laboratory and radiological exams, medication used during hospitalization and outcomes.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>REDCap</div><div>suggested: (REDCap, RRID:SCR_003445)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Study limitations include its retrospective design, with data being collected by chart review only, and the fact that thyroid disease status was based on patients information given at hospital admission, so it was not possible to know if the hypothyroidism was compensated or not. Nevertheless, to the best of our knowledge, the study has the largest sample of COVID-19 patients with hypothyroidism published so far. TSH and thyroid hormone (T4 and T3) levels were not evaluated during the time of hospitalization and time in the ICU, as this is not recommended during hospitalization due to Covid-19 or other acute diseases is by the health organizations, and it was not our aim to access the effects of NTIS. The assessment of thyroid hormone levels throughout the course of Covid-19 is still challenging due to the possibility of overdiagnosis due to abnormal hormone levels during acute systemic disease. It is important to emphasize that these hormonal changes are adaptive processes and cannot be defined as a disease itself.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

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<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.03.21265478: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Eligibility criteria included maternal age ≥18 years and willing to provide informed consent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Study Design: Pregnant women admitted for delivery at eight medical centers in Israel (Hadassah Mount-Scopus, Wolfson, HaEmek, Hillel Yafe, Rabin, Shaare Zedek, Meir, and Sourasky Medical Centers) were approached for enrollment in the Israel Covid-19 in Pregnancy study, starting in April 2020.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">IgG and IgM antibody (S1, S2, RBD, N) MFI were log10-transformed for the analyses.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>S1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Additionally, when relevant, the effects of wave (either the 2nd or 3rd wave), trimester (1st, 2nd, 3rd), and the wave by trimester interaction on IgG and IgM antibody concentrations or their transfer ratios were analyzed in a General Analysis of Variance Test (ANOVA), followed by Tukey HSD All-Pairwise Comparisons test.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgM</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical Analyses: Statistical analyses were performed using Statistix 8 software (Analytical Software, Tallahassee, FL USA) and Prism 5.01 (GraphPad Software; San-Diego, CA, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

The present work possesses several limitations, including bias in sample collection due to daytime recruitment of participants, thereby excluding most emergency cases. The period of sample collection differed among groups, as the Israeli vaccination campaign started after the commencement of the study. Additionally, antibody levels were quantified using antigens of the original virus, and may thus show reduced affinity to antibodies induced by the alpha variant. Pregnancy induces particular changes in a women’s immune system placing them at a vulnerable position when it comes to infections. Therefore, general population immunity dynamics are not always applicable to pregnant women. This is the first study to compare the evolution and dynamics of the maternal-fetal humoral response between Alpha variant and Wildtype SARS-CoV-2 infections, demonstrating that pregnant women response is variant dependent. Additionally, this work enhances the important role of active transport and placental regulation for fetal immunity supporting vaccination during pregnancy.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

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<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.03.21265819: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">The search was done blindly and independently by two researchers (K Rahmani & R Shavale) using the following keywords in the abovementioned databases: COVID-19; SARS-COV-2; coronavirus; vaccine; post-vaccination; mortality; hospitalization; readmission; reinfection; morbidity; and Breakthrough infections.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Search Strategy: A systematic search of PubMed, Scopus, ProQuest, and Google Scholar databases as well as the Preprint servers including medRxiv and Research Square was done to identify the studies related to the keywords studied based on the Medical Subject Headings (MeSH) published until October 15, 2021, with full texts in English, without any spacial restrictions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PubMed</div><div>suggested: (PubMed, RRID:SCR_004846)</div></div><div style="margin-bottom:8px"><div>ProQuest</div><div>suggested: (ProQuest, RRID:SCR_006093)</div></div><div style="margin-bottom:8px"><div>Google Scholar</div><div>suggested: (Google Scholar, RRID:SCR_008878)</div></div><div style="margin-bottom:8px"><div>MeSH</div><div>suggested: (MeSH, RRID:SCR_004750)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Despite the important results found out on the effectiveness of COVID-19 vaccines against the incidence of infection, hospitalization, and mortality after vaccination, the present study had a number of limitations, including the possibility of vaccination of specific age or occupational groups (health care worker) associated with an increase or decrease in the chance of contracting SARS-COV2 infection. However, the confounding effect of the background variables was somewhat controlled through the use of HR adjusted studies. Herd immunity was another issue that could distort the overall results; i.e. with increasing follow-ups, the risk of infection in the community and non-vaccinated people would gradually decrease, and this would overestimate the effectiveness of various COVID-19 vaccines.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.03.21265877: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

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Results from OddPub: Thank you for sharing your code.

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

As with any study, the REACT-1 study has limitations. We cannot meaningfully calculate a response rate for round 15 since it is not yet complete, but between rounds 1 (May 2020) and 14 (September 2021) the response rate declined from approximately 30% to approximately 12%. Although we used rim weighting to adjust our prevalence estimates for differential response by age, sex, deprivation, LTLA counts and ethnicity, it remains possible that our estimates are not fully representative of the population as a whole. The data on participants who consented for their REACT-1 data to be linked to their NHS records which include data from the COVID-19 immunisation programme are not yet available for round 15. Surveillance in England indicates that influenza incidence was low up to 26 October 2021 (the most recent data reported by UKHSA [19]), although it will almost certainly increase in coming weeks unless strict social distancing were to be reinstated. For viral infections, co-infections with other bacterial and viral pathogens can increase the risks of complications and mortality. The combined effects of SARS-CoV-2 and influenza co-infections are not well understood [20]. Even if co-infected individuals do not experience increased risks of serious disease, the dual demands on the NHS of caring for COVID-19 and influenza patients is likely to put its resources under pressure. It is therefore essential to monitor ongoing infection risks of both SARS-CoV-2 and influenza so that appropr...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.02.21265826: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

---

Results from OddPub: Thank you for sharing your code and data.

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Another limitation of this work includes not accounting for under-reporting. Due to the highly contagious nature of SARS-CoV-2, many countries advised individuals with COVID-19-like symptoms to self-isolate at home instead of going to the hospital, except they have a severe case of the disease. As a result, these individuals may not get a test to confirm if they had the disease, and therefore, they may not be captured in the reported cases. This may lead to under-reporting. The availability and consistency of data is also another limitation of this work. Data collection during the COVID-19 pandemic has been very tedious worldwide, especially during the early stage of the disease when non-pharmaceutical interventions that impede movement and access to resources were imposed. Particularly, data collection in many developing countries across Africa is challenging due to the lack of adequate infrastructure, leading to inadequate data. The framework presented in this paper requires knowing the transition rates of infected individuals between the different compartments of the model. These parameters may not be immediately available for a novel disease like SARS-CoV-2 during the early stage of the disease. Another limitation of our model includes not explicitly modeling the dynamics of asymptomatic individuals. An interesting extension of the work presented in this paper includes incorporating a parameter for the ascertainment fraction of the reported cases of COVID-19 in each count...

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.03.21265861: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Strengths and limitations: Strength’s worth highlighting, is the tandem use of longitudinal data on individuals aged 18-24 and repeated samples of individuals aged 18 years originating from the same baseline population. Moreover, our data collection during the initial lockdown included up to 7 measurements spanning the reopening phases, as well as one measurement subsequent to a second and more prolonged lockdown. The repeated cross-sections allow us to quantify seasonal variations and is only vulnerable to attrition if the participation in DNBC-18 systematically changed over year of birth or season, as opposed to the longitudinal setup which is more vulnerable to attrition due to loss to follow-up. We attempted to reduce bias from differential attrition by inverse probability weighting. The validity of this method relies on a correctly specified model including all relevant predictors for loss to follow-up, which cannot be assumed. Interpretation of our findings likewise deserves consideration of a few limitations. In the longitudinal setup, the baseline data was collected at age 18 years and three months for all participants, whereas the participants’ ages during lockdown was 18-24 years. Thus, the timespan between the before and during lockdown measurement was greater for the older participants. For older participants, changes in mental health may be underestimated, since the pre-lockdown measurement represent a younger age than the follow-up measures, and on average repor...

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265729: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

There are several limitations of this research. First, the contact pattern in the matrices was already affected by NPIs and might be not identical to the contact pattern before COVID-19, necessitating the normalization done on the matrices. For example, transmission rate among those age 0-17 might be underestimated because of restricted attendance in schools. Second, vaccine waning is not considered. However, booster shots are administered and vaccine hesitancy remains low in Korea, which mean that the effect of administered vaccines might be maintained [22]. Third, our age-age matrix focused on the Delta variant, and we were not able to examine transmission of other previous variants. The coverage of genomic surveillance among COVID-19 cases in Korea has steadily increased, and it covers about 30% of all confirmed cases. Therefore, the number of cases with genomic results before the occurrence of the Delta variant was small to be analyzed separately by variant types. Our result highlighted the transmission pattern of Delta, which is currently the dominant variant in most countries.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265527: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A prespecified case report form was used, applying Research Electronic Data Capture (REDCap) tools (15).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>REDCap</div><div>suggested: (REDCap, RRID:SCR_003445)</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

This is an intrinsic limitation of regression models, and the variable may be seen as non-significant due to the fact that it is a non-linear association. As previously mentioned, an important limitation of regression models is collinearity. When exploiting LASSO regression in our previous work (4), we had to exclude some features which had shown to be important in the boosting model due to high collinearity. This may explain the difference in the features included in both models, despite the fact that all features included in both had previous evidence of association with COVID-19 prognosis. Another interesting remark is shown in Fig 4, in which we can see the relative importance of each feature. Here, again, age is the most important single feature (due to higher mean SHAP value), which is in line with previous studies (3,31,32). In an American study in intensive care units, age has shown higher discriminatory capacity when used in isolation (AUC 0.66) than the Sequential Organ Failure Assessment (SOFA) score (0.55) for mortality prediction, in a cohort study of adult patients from 18 ICUs in the US, with COVID-19 pneumonia. This score is widely used at emergency departments and ICUs worldwide to determine the extent of a person’s organ function or rate of failure (42). In the present study, the remaining features, when combined, yield higher predictive value in this task than just age. Reliability: Finally, we investigate issues related to the reliability of the models. Ne...

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265660: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Rt estimates were calculated at the district level using the EpiNow2 R package (1.3.2) using MCMC, as implemented in Stan27,28, based on weekly reported cases29.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EpiNow2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Unlike in Abbott et. al.30 we modelled Rt explicitly with the gaussian process and not as a first order difference.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Abbott</div><div>suggested: (Abbott, RRID:SCR_010477)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Google Mobility Indicator: We used mobility data from Google as a second measure of human movement16.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Google</div><div>suggested: (Google, RRID:SCR_017097)</div></div></td></tr></table>

---

Results from OddPub: Thank you for sharing your code and data.

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.30.21265680: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethical considerations: As a public health surveillance activity in response to the COVID-19 emergency response, this activity was deemed exempt from IRB by the GDPH Review Board.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

This evaluation was subject to limitations. First, while Fulton County Board of Health offered testing to individuals of all ages beginning in May, 2020, not all testing facilities in and around Fulton County made COVID-19 testing readily available to children. This is an important factor that likely contributed substantially to the number of pediatric tests being far fewer than the number of adult tests. Second, data available from case investigations of young children depend entirely on interviews with proxies, which do not always result in the most accurate data on symptomaticity or source of infection. It is also important to acknowledge we did not have data on whether children were attending school in-person during this time frame, limiting an ability to make inferences about the role schools may have played in pediatric COVID-19 transmission; however, studies have revealed low rates of COVID-19 transmission within schools when mitigation strategies are in place.22,23 Strengths of this study include our data sources. In Georgia, SendSS is the most comprehensive surveillance data source for COVID-19 cases and includes data on cases tested across the majority of testing sites in Fulton County. This allowed us to observe pediatrics trends using the most data possible for cases diagnosed among Fulton County residents, regardless of testing location. Because our datasets included case age, we could also examine COVID-19 trends among smaller, informative pediatric age groups.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265742: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cost components: The different activities identified in the delivery and implementation of the COVID-19 vaccine were categorized under 7 key components; 1) Vaccine and related supplies procurement costs 2) Vaccine supply chain costs 3) Vaccine safety monitoring and AEFI management 4) Training 5) Advocacy, communication, and social mobilization 6) Data management, monitoring and supervision 7)Vaccine administration during service delivery.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cost</div><div>suggested: (COST, RRID:SCR_014098)</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

This study’s limitation is that the study relied on expenditure plans rather than actual expenditures. However, this was mitigated by augmenting this data with structured interviews with vaccine deployment implementors. The strength of this paper is that the assumptions, unit prices, and vaccination scenarios used in the cost analysis are country-specific and therefore can be used to inform local policy and may further inform parameters used in cost-effectiveness models. However, although the results are less generalizable to other similar low-and middle-income settings in the current format, they could potentially be adapted and adjusted to country-specific assumptions.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265775: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.02.21265755: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265766: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All subjects provided informed consent and the study was approved by the NYU Institutional Review Board.<br>IRB: All subjects provided informed consent and the study was approved by the NYU Institutional Review Board.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">The mean (standard deviation) age and body mass index (BMI) for the cohort were 67.72 (17.86) years and 34.96 (15.7) respectively. 46.9% of the subjects were female.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After quality control, low coverage data were used to impute all common (minor allele frequency >1%) human polymorphism genotypes for each sample, using reference populations from the 1000 Genomes data sets.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>1000 Genomes</div><div>suggested: (1000 Genomes Project and AWS, RRID:SCR_008801)</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Our study has limitations, as the large COVID-19 wave in New York City in 2020 occurred, many subjects were recruited but we have not been able to assemble a large replication cohort as case numbers in New York City have remained low after the severe first wave. A replication cohort would be ideal, and we will await with interest future studies of these loci from data sets at other centers. This is a candidate gene study, which allows us to benefit from prior knowledge and rationale, and we maintain an appropriate type I error correction. Despite this, replication in future studies will be important. In summary, we document a number of IFN pathway lupus risk alleles that significantly impact mortality following COVID-19 infection, and these alleles provide some clues about key points in our viral defense against COVID-19. The study also supports the idea that type I IFN pathway risk alleles for autoimmune disease may persist in high frequency in modern human populations due to a benefit in our defense against viral infections.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.02.21265789: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265731: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: Thank you for sharing your code and data.

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265593: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Confounders and Moderators: Confounders included: sex (female vs male); ethnicity (non-white ethnic minority vs White -including white ethnic minorities); age; education (degree vs no degree); UK nation (i.e. England, Wales, Scotland or Northern Ireland or other); household composition (based on presence of a spouse/partner and presence of children); pre-pandemic psychological distress (indicated by symptoms above thresholds on standard screening scales); pre-pandemic self-assessed health (excellent-good vs fair-poor); and pre-pandemic measures of smoking, vaping and drinking.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

While combining analyses from several UK prospective studies represents a clear contribution to understanding the potential impact of furlough, there are limitations that should be taken into account. Firstly, we were not able to achieve full harmonisation of measures across studies, for example, a number of studies had only asked questions on recent pre-pandemic smoking of those who were smoking during the pandemic, meaning smoking cessation during the pandemic was unobserved in those studies. This means the analyses of change in smoking for these studies focused only on reductions in cigarettes smoked, rather than outright cessation. The main analyses will be less affected, though there may have been some residual confounding from participants who had smoked but given up before being surveyed during the pandemic. Focusing on maximising comparability of measures across studies also limited our scope to explore more varied definitions with respect to frequency, quantity or other aspects of use, such as binge drinking, or concurrence of smoking and vaping behaviour. Our findings focus on the initial stages of the pandemic (April-July 2020) and observed relationships could change with the duration of lockdown or furlough, and subsequent changes to restrictions and the furlough scheme. Further research is needed to explore potential heterogeneity over the course of the pandemic, within workers who retained employment, and between different measurement definitions/thresholds. As ...

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.31.21265676: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

---

Results from OddPub: Thank you for sharing your data.

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Our findings must be considered in light of some limitations, which we address here. First, we captured different degrees of confidence through an ordinal scale with 4 values, while the variability of confidence may be higher. Second, although we approached different sociodemographic characteristics, it is necessary to consider additional aspects such as cultural, ethnic, rurality and income, among others. Third, given the context of physical distance, the application of the online survey mostly reached those who have constant access to the internet and technological resources, thus excluding people with lower accessibility or knowledge about the internet and technology. Although in these limitations we highlight aspects that must be considered and remedied in future studies, it is necessary to clarify that the present study is consistent and clearly underlined the conditions that propitiate the willingness to accept an annual vaccination, booster doses and the vaccination of children. In conclusion, our study reports a high intention of the Chilean population to receive a booster dose of the COVID-19 vaccine, annual vaccination and vaccination in children under 16 years of age. Vaccine acceptance is associated with trust in scientists, medical teams and in different media such as television and radio. Perception of risk is a factor that determines in adults the acceptances of vaccination or children vaccination or booster doses. This study provides the foundations on aspects...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.31.21265718: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethical consideration and role of funders: This study was reviewed and approved by the Ethical Review Board of Mubarak Alkabeer Hospital and Dasman Center “Protocol # RA HM-2021-008” as per the updated guidelines of the Declaration of Helsinki (64th WMA General Assembly, Fortaleza, Brazil, October 2013) and of the US Federal Policy for the Protection of Human Subjects.<br>Consent: Subsequently, patient informed written consent was obtained before inclusion in the study.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">10 To evaluate the serological response to BNT162b2 or ChAdOx1 nCoV-19 vaccine in patients with IBD on biologic therapies, we measured levels of SARS-CoV-2 Immunoglobulin G (IgG) and neutralizing antibodies post vaccination.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2 Immunoglobulin G (IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Laboratory Methods: In this study, anti-SARS-CoV-2 antibodies quantification from plasma to assess magnitude of systemic virus specific antibodies was performed using enzyme-linked immunosorbent assay (ELISA) kit (SERION ELISA agile SARS-CoV-2 IgG SERION Diagnostics, Würzburg, Germany) based on the manufacturer’s protocol.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2</div><div>suggested: None</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

However, our study has some limitations. It includes a small sample size of patients, so it was not powered to assess differences across medication subgroups. Furthermore, only humoral serological responses were assessed, it is likely that T cell-mediated immunity plays a possible protective role. Finally, given the observational nature of the study, possible confounders may exist, such as difference in biologic dosing and serum drug concentrations were not accounted for. A follow up larger studies needed to evaluate if decay of antibodies occurs over time and if a possible third booster vaccine dose may be needed. To conclude, this study showed that most patients with IBD on infliximab, adalimumab, and vedolizumab seroconverted after two doses of SARS-CoV-2 vaccination. All patients on ustekinumab seroconverted after two doses of SARS-CoV-2 vaccine. BNT162b2 and ChAdOx1 nCoV-19 SARS-CoV-2 are both likely to be effective after two doses in patients with IBD on biologics. A follow up larger studies are needed to evaluate if decay of antibodies occurs over time and if a third booster vaccine dose may be needed.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a protocol registration statement.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.30.21265662: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Consents from the critically ill COVID-19 patients were waived due to the state of unconsciousness in these patients which was accepted by the Wroclaw Medical University Bioethics Committee (consent No. 394/2021).<br>Consent: Consents from the critically ill COVID-19 patients were waived due to the state of unconsciousness in these patients which was accepted by the Wroclaw Medical University Bioethics Committee (consent No. 394/2021).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Densitometric analysis was done by GelAnalyzer 19.1.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GelAnalyzer</div><div>suggested: None</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

This study has several limitations related with small patients’ group and lack of mechanistic investigations. Noteworthy, our study group is well-defined and limited to the ARDS and sepsis forms of COVID-19. Although we analyzed several proteins related with activation of the inflammasome we did not measure other relevant mediators that can interact with this pathway (e.g. interferons). The present study would also benefit from the flow cytometry data of the inflammasome activation in circulating blood cells. Moreover, we analyzed only plasma proteins and it should be noted that they may not fully reflect the tissue response. Finally, we were not able to explain the heterogenic pattern of the inflammasome activity in these patients.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.31.21265714: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was approved by the Ethical Committee of the University Hospital for Infectious Diseases, Zagreb, Croatia.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Our study has limitations. The data on individual patients were not available and we could not follow up dispensed azithromycin from pharmacies to patients. However, it is quite certain that all quantities of distributed azithromycin have been dispensed to patients. We were also not able to report more standard measures of antibiotic usage such as defined daily dose or DOT per 1000 patient-days. Nevertheless, we did provide data on azithromycin overuse during the COVID-19 epidemic in Croatia. Even though an increase of 8.1% of total azithromycin DOT from the average of 2017– 2019 compared to 2020 seems modest, we should highlight the fact that Croatia is already one of the countries with highest percentage of macrolide resistant isolates among EU/EEA countries [20]. Macrolides were the second most common used antibiotics with azithromycin accounting for most of the use in Croatia in 2014 – 2019 with daily defined doses (DDD)/1000 inhabitants per day of 2.58, 2.82, 2.55, 2.56, 2.73, 2.72, respectively, after penicillins including beta-lactamase inhibitors [21,22]. Sample of Streptococcus pneumoniae with estimated national population coverage of 80% showed increasing trend in macrolides resistance in the period 2015 – 2018 (19, 34, 36, 32%, respectively) [20]. Resistance data collected from 38 centers in Croatia in 2019 showed 31% resistant S. pneumoniae to macrolides with a range of local results from 0 to 53% and 9% of macrolide resistant Streptococcus pyogenes with a range o...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.30.21265430: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We use tree-based GAMs [12] implemented in the Python Interpret package1.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>

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Results from OddPub: Thank you for sharing your code.

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Limitations: As with all analyses of observational data, this approach has several limitations. Firstly, while the machine learning optimization seeks to allocate effect sizes to most statistically reliable indicators, we do not use any side information (such as treatment mechanism of action or time-series data) to perform causal inference. In addition, in this study we have considered only binary indicators for each treatment, choosing to assume that providers are following dosage protocols to standardize care. Finally, while additive models are interpretable and accurate, they are still susceptible to statistical biases [21] which may cause different model classes to recover different effects from a single dataset. Further works should investigate the potential for other classes of additive models to corroborate or dispute these findings.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.31.21265672: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Cleveland Clinic Institutional Review Board (IRB) exempted the study from IRB approval (FLA 20-038).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

There are several limitations associated with our study. The time-frame during which the study was performed did not allow for adjustment for anti-viral treatments (such as dexamethasone and remdesivir) which have been shown to decrease severity of radiographic edema (26) as these were introduced later during the study period within the healthcare system (late August-September). We were also not able to adjust for any variables other than those obtained at baseline when performing the longitudinal analyses, raising the question of whether other organ failure outside of the pulmonary system (renal) and fluid status have contributed to radiographic deterioration that is not directly associated with COVID-19 pulmonary disease. Lastly, while the study is a multi-center study across multiple hospitals and states in the United States, practices and procedures early in the pandemic were often institution-based and not necessarily guided by the Centers for Disease Control and Prevention and/or the World Health Organization. As such, institutional standards of treatment may not have been reflective of other healthcare systems around the same time period. Despite these limitations, we excluded patients for which there was incomplete data that would otherwise require imputation and potentially affect our analyses. Instead, the study protocol structured the CXR sampling periods to provide early, standardized meaningful clinical data that may assist clinicians in prognostication and decis...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.31.21265711: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">29 strains exported and randomly selected 1,000 AY.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">In a nutshell, the strain was first aligned in a pairwise manner with NC_045112 SARS-CoV-2 reference genome using Needleman-Wunsh algorithm(12) using EMBOSS needle with a gap penalty of 100 and extension penalty of 0.5.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EMBOSS</div><div>suggested: (EMBOSS, RRID:SCR_008493)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265737: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Participants: The participants of this manuscript are from the CoVac study, which was approved by the ethics board of the Medical Faculty, Otto-von-Guericke University, Magdeburg (certificate 67/21) and registered with the Paul-Ehrlich-Institute, Langen, Germany (NIS613).<br>Consent: After informed consent, we collected blood samples by venipuncture followed by serum collection.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Participants consisted of 36% male and 64% female with a mean age of 36 years (20-65 years) for the mRNA/mRNA group, 47 years (24-69 years) for the Vector/Vector group and 38 years (19-66 years) for the Vector/mRNA group.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Quantification of Anti-SARS-CoV2-Sp1 antibodies: Quantification of anti-SARS-CoV2-Sp1-IgG antibodies was conducted using EliA SARS-CoV-2-Sp1 IgG test (ThermoFisher Scientific, Freiburg, Germany) according to manufacturer’s instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-SARS-CoV2-Sp1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-SARS-CoV2-Sp1-IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ELISA: The presence of autoantibodies against cyclic citrullinated peptide (CCP, IgG; Medipan, Dahlewitz, Germany) and tissue transglutaminase (TTG, IgA; Generic Assays, Dahlewitz, Germany) were analyzed by ELISA according to the instructions of the manufacturer.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CCP, IgG; Medipan, Dahlewitz, Germany</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>tissue transglutaminase (TTG, IgA; Generic Assays, Dahlewitz, Germany)</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Quantifications of autoantibodies against Cardiolipin, Prothrombin and β2-Glycoprotein were conducted by ELISA using the Random Access Analyzer Alegria (Orgentec, Mainz, Germany) according to the manufacturer’s instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cardiolipin, Prothrombin</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The applied cutoffs were: anti-Cardiolipin-Screen ≥ 10 U/mL, anti-β2-Glycoprotein ≥ 10 U/mL, Prothrombin screen ≥ 20 U/mL. Immunofluorescence: Serum samples were screened for the presence of autoantibodies against nuclear antigens (ANA) using immunofluorescence with the ANA HEp-2 plus kit (Generic Assays, Dahlewitz, Germany) according to the manufacturer’s instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Cardiolipin-Screen</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-β2-Glycoprotein</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistics: Statistical analysis was performed using Prism8 (GraphPad, San Diego).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265555: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was approved by the Human Research Ethics Committees of participating institutions and all study participants provided informed consent.<br>Consent: The study was approved by the Human Research Ethics Committees of participating institutions and all study participants provided informed consent.<br>IACUC: All methods were performed in accordance with institutional guidelines and regulations.<br>Field Sample Permit: Cohort 6: This study was approved by the Mazandaran University of Medical Sciences (approval number IR.MAZUMS.REC 1399.856).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">Researchers who performed PCR assays were blinded to information regarding patient data or etiological diagnoses.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: In addition to standard microbiological tests, testing for atypical respiratory pathogens (Chlamydophila pneumoniae, Mycoplasma pneumoniae and Legionella pneumonphila) was also performed in selected patients at the discretion of treating physicians.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were performed using Prism version 9.0.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cohort 7: Singaporean cohort: The study was approved by the National Healthcare Group Domain Specific Review Board (DSRB 2014/00614).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>National Healthcare</div><div>suggested: None</div></div></td></tr></table>

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Results from OddPub: Thank you for sharing your code and data.

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

The present study has several limitations. Firstly, the prospective validation cohort was relatively limited in size. Secondly, patient cohorts were recruited prior to the availability of vaccination. Accordingly, our findings do not apply to vaccinated individuals experiencing ‘breakthrough’ infections. Finally, we could not correlate the changes in IFI27 expression levels between the peripheral blood and the infected lung. Future studies (e.g., in animal models) are needed to unravel the coupled dynamics of IFI27 expression between these tissue compartments. In conclusion, the findings provided herein represent the first evidence that IFI27 expression has a potential as a severity biomarker for risk stratification in COVID-19 patients.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a protocol registration statement.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265764: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">At the Integrated Research Facility (IRF) - Frederick, the virus was passaged by inoculating grivet kidney epithelial Vero cells (ATCC #CCL-81) at a multiplicity of infection (MOI) of 0.01 under high containment (BSL-3) conditions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero</div><div>suggested: ATCC Cat# CCL-81, RRID:CVCL_0059)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The resulting viral seedstock was harvested and quantified by plaque assay using Vero E6 cells (ATCC #CRL-1586) with a 2.5% Avicel overlay and stained after 48 hours with a 0.2% crystal violet stain.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ADAPT was then run on the S gene alignment with the following parameters: 35-65% GC content, max.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ADAPT</div><div>suggested: (ADAPT, RRID:SCR_006769)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Infected cells were incubated for 48 or 72 hours in Dulbecco’s Modified Eagle Medium with 4.5g/L D-glucose, L-glutamine, and 110 mg/L sodium pyruvate (DMEM, Gibco) containing 2% heat-inactivated fetal bovine serum (SAFC Biosciences) in a humidified atmosphere at 37°C with 5% CO2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SAFC</div><div>suggested: (SAFC, RRID:SCR_008554)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Single-step SARS-CoV-2 SHINE reactions: RPA primer and crRNA optimizations were performed using the following SHINE conditions: 1X original SHINE buffer (20 mM HEPES pH 8.0 with 60 mM KCl and 3.5% PEG-8000), 45 nM LwaCas13a protein resuspended in 1X SB (such that the resuspended protein is at 2.26 µM), 125 nM polyU quenched FAM reporter, 2 mM of each rNTP, 1 U/µL murine RNase inhibitor, 1 U/µL NextGen T7 RNA polymerase, 0.1 U/µL RNase H (NEB), 2 U/µL Invitrogen SuperScript IV (SSIV) reverse transcriptase (Thermo Fisher Scientific), an assay specific concentration of forward and reverse RPA primers (detailed below), and 22.5 nM crRNA.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>NextGen</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">BinaxNow COVID - 19 Antigen self-test - clinical samples: BinaxNow COVID-19 Antigen self-tests (Abbott) were purchased from Walmart.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Abbott</div><div>suggested: (Abbott, RRID:SCR_010477)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data panels were primarily generated using Prism 8 (GraphPad).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

SHINEv2 addresses these limitations. Lyophilization considerably simplifies the assay and facilitates its transportation and storage. SHINEv2 can be distributed overseas without a loss in performance. Moreover, the use of an equipment-free and ambient-temperature sample lysis method further increases the user-friendliness of the assay. SHINEv2 involves as few steps from the user as antigen-capture tests, while providing a 50-fold boost in sensitivity7,42,43. Importantly, SHINEv2 demonstrates perfect (100%) concordance with RT-qPCR, the gold standard for SARS-CoV-2 diagnosis, in samples with RNA levels above our analytical LoD of 200 copies/μL. This level of sensitivity could enable the detection of every potentially infectious individual, including those missed by antigen-capture tests10,46. SHINEv2 can accurately identify several clade-specific mutations in the Alpha, Beta, Gamma and Delta SARS-CoV-2 VOCs, and it can be rapidly adapted to respond to emerging viral variants as well as other viruses in current and future outbreaks. Thus, SHINEv2 can provide critical information to inform public health responses, and it fills a major gap in point-of-need diagnostics. At the population level, SHINEv2 could be used to prioritize testing and vaccine rollout in highly-affected communities or to select subsets of samples for further viral sequencing. SHINEv2 could also assist clinicians in selecting the right treatment (e.g. monoclonal antibody cocktails) for patients with severe CO...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265761: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">The Toddler Module included 94 observations from 47 children (29 ASD, 21 females) with ages ranging from 15 to 38 months (M = 25.30, SD = 4.31).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">The administrations were randomly selected and coded by coders blind to diagnosis.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">The administrations were randomly selected and coded by coders blind to diagnosis.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Completing cognitive testing remotely can be done but has limitations, particularly for young children and youth with attentional or social difficulties. Solely completing ASD-specific testing does not give a full diagnostic picture and could cause a clinician to misinterpret difficulties or delays related to other factors of development (e.g., when social skills are immature for chronological age, but may be consistent with developmental level). For this reason, understanding an individual’s cognitive functioning is an important factor in putting their social skills and behaviors into context. Some widely used cognitive measures (e.g., Wechsler series) have been made available online, though there are limitations to which tasks can be administered remotely or without using shared materials and manipulatives. Caregivers may be able to act as facilitators in testing cognitive abilities or developmental level for children, though caution should be used in interpretation of results, as parents could unknowingly provide prompting, making it more difficult to determine the child’s true ability level. Interviews, such as the Vineland Adaptive Behavior Scales, Third Edition (Vineland-3; Sparrow et al., 2016), can be conducted over telehealth to aid in obtaining a thorough report on adaptive functioning. With these considerations and limitations in mind, obtaining comprehensive information should be prioritized to get a full and accurate diagnostic picture as assessment services cont...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.31.21265627: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Field Sample Permit: More details on the LSAC methodology, including sampling procedures and data collection techniques, is described elsewhere.24, 25 Our current study included 2291 Australian youth aged 16-21 years at the time of the LSAC Wave 9C1 in 2020.<br>IRB: Ethics: The LSAC has been approved by the Human Research Ethics Committee of the Australian Institute of Family Studies (AIFS) (Application number 20-09), and written informed consent was obtained for all study participants.<br>Consent: Ethics: The LSAC has been approved by the Human Research Ethics Committee of the Australian Institute of Family Studies (AIFS) (Application number 20-09), and written informed consent was obtained for all study participants.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Explanatory variables: Based on the previous literature,26, 27 the following socio-demographic variables were considered as predictor variables in this study: age (16-17 years, 20-21 years), sex (Male, Female), country of birth (Australia, Overseas), remoteness (Major cities, Rural/remote areas), education (Technical/others, Secondary, University/tertiary), employment (Full-time, Part-time, Unemployed), number of household members (Alone, Two people, Three people, Four or more people), living with parents (Yes, No), currently in a relationship (Yes, No), and the SEIFA (Socio-Economic Indexes for Areas) Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) quintiles.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Second, children were randomly selected from a selection of 311 postcodes, around 40 and 20 children per postcode in the large and small states, respectively.24 The LSAC collected data biennially since 2004 from two cohorts - the birth</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: Thank you for sharing your data.

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Another limitation may be the difficulty in comparing these findings to other countries, for example, Australia’s COVID testing rate is much higher than many other countries; 2.7 per day per 1,000 people55 compared to the US (1.9 per 1,000), the UK (1.3 per 1,000) and India (0.654 per 1,000).56 This may be due to Australia’s relatively high national wealth (and lower inequality compared to US), as well as finanical support for individuals and businesses afflicted by the pandemic.57

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265653: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.31.21265703: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Participants recruited from March 8 to March 31, 2021 by community family doctors provided written informed consent.<br>IRB: The Central Research Ethics Committee from the Cuban Ministry of Health was ad hoc appointed for this trial.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">VE at the primary endpoint was evaluated across risk strata for severe disease (19-64 years without risk comorbidities; 19-64 years with risk comorbidities; and ≥65 years), sex (female or male), and skin color (white, black and mixed-race).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Study Design, Oversight and Ethics: A double-blind, randomized, placebo-controlled, stratified</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">Primary endpoint was judged blinded by COVID-19 hospital doctors, reviewed by specially trained doctors and finally by the study’s Principal Investigator (PI).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">The design required to achieve 90% power (and 2.5% 1-sided type I error) to detect a HR of 0.4 (VE >60% to reduce the risk of symptomatic disease compared to placebo), with a null hypothesis HR of 0.7.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

The main limitation of this study— as of most phase 3, COVID19 VE studies— is the narrow time window for VE evaluation. The waning of immunity over time and its impact on efficacy are key aspects that deserve the highest attention. At present, we are following time evolution of protection as well as its behavior towards new circulating variants; these aspects will be addressed in other communications. In conclusion, the conjugate vaccine SOBERANA 02 was efficacious and induced cross-protection during a dominant circulation of the VOC β and VOC δ. The third heterologous dose of SOBERANA Plus increase efficacy up to an outstanding 92.4 % preventing severe disease and death. Taken together, our findings indicate that SOBERANA 02 is a promising vaccine that can be used in a two-dose regime or in heterologous three dose combination with SOBERANA plus to fight COVID19 pandemic in adults population. According to the safety profile and efficacy, it is a potential vaccine for pediatric age.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265384: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: REMAP-CAP was performed in accordance with regulatory and legal requirements (EudraCT number: 2015-002340-14) and was approved by London-Surrey Borders Research Ethics Committee London Centre (18/LO/0660).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Sample Collection: The REMAP-CAP Immunological Domain was an international, open-label, randomized convalescent plasma trial enrolling patients aged 18 years or older receiving intensive care-level organ support.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT02735707</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomized, Embedded, Multifactorial Adaptive Platform Trial…</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04536051</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">A Study of a Candidate COVID-19 Vaccine (COV003)</td></tr></table>

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• No funding statement was detected.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.11.01.21265749: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Confluent Vero E6 cells seeded the day before were infected with the virus-containing serum dilutions for 1 h at 37°C and 5% CO2 with occasional shaking.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The pipeline includes several Python scripts that manage the analysis workflow.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, it allows for the filtering of genomes, the alignment of genomes in MAFFT (14), phylogenetic tree inference in IQ-Tree (15), tree dating (16) and ancestral state construction and annotation.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MAFFT</div><div>suggested: (MAFFT, RRID:SCR_011811)</div></div><div style="margin-bottom:8px"><div>IQ-Tree</div><div>suggested: (IQ-TREE, RRID:SCR_017254)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Graphs were generated using GraphPad Prism 9.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

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Results from OddPub: Thank you for sharing your code and data.

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.30.21265694: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The alignment of the sequenced reads to the reference SARS-CoV-2 genome (GenBank ID: NC_045512.2) was performed by Bowtie v2.4.2 (12) and additional parameters as end-to-end and very-sensitive.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Bowtie</div><div>suggested: (Bowtie, RRID:SCR_005476)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The analysis of the sequencing coverage and depth was generated by samtools v1.11 (13) with minimum base quality per base (Q) ≥ 30.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>samtools</div><div>suggested: (SAMTOOLS, RRID:SCR_002105)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The genetic distance plot comparison of the 44 sequenced genomes from this study with the NC_045512.2 reference was performed with the Python package recan using a window of 200 nt and a shift of 50 nt as parameters (28).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Molecular evolution of spike and non-structural proteins from ORF1a of northern samples: Selection tests were performed with HyPhy v2.5.32 (31) using the nucleotide sequence alignment and the maximum likelihood tree (previously described) for spike and non-structural proteins from ORF1a.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HyPhy</div><div>suggested: (HyPhy, RRID:SCR_016162)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The multiple sequence alignment with the P.1, B.1.1.28, the 44 sequenced genomes from this study, and the SARS-CoV-2 reference genome NC_045512.2 was generated by the MAFFT web server (1PAM / κ=2 scoring matrix), while the alignment trimming (deletion of 265 and 259 nucleotides at 5’ and 3’ ends, respectively) was performed with UGENE (17).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MAFFT</div><div>suggested: (MAFFT, RRID:SCR_011811)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The tree visualization and editing was generated by the FigTree software (http://tree.bio.ed.ac.uk/software/figtree/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FigTree</div><div>suggested: (FigTree, RRID:SCR_008515)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Considering the limitations related to a subsampled global phylogeny analysis, it is not possible to know if the absence of well-supported monophyletic groups is due to the missing branches and nodes representing the most related sequences and their ancestors or some technical limitation inherent to the application of the branch support statistical tests to the SARS-CoV-2 genomic sequences, since bootstrapping approaches require multiple sites supporting a clade to infer strong support value in near-perfect trees (57). In fact, SARS-CoV-2 genomes present a low number of informative sites, which may generate topology with low statistical support and ambiguous clustering of large data sets (58). Additionally, both SH-aLRT and ultrafast bootstrap methods rely on bootstrap resampling (57). Considering all aspects discussed above and the divergence among sequences, it is expected that the P.1 genomes (specially in the spike sequence analysis) cluster together and phylogenetic trees including multiple lineages present better statistical support values inter-lineages in comparison with intra-lineages. In summary, the association of diversification of P.1 sequences, the known phenotypic consequences of some signature mutations, the confirmation of positive selection acting on some sites and the absence of evidence for recombinations, all suggest that the main driving force in the evolution of P.1 viruses was selective pressure.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.30.21265449: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Informed consent was obtained from all parents (18 years or older and currently living in India).<br>IRB: Ethical Considerations: Ethical approval was granted for the study by the institutional Research Ethics Committee of Post Graduate Institute of Medical Education and Research(PGIMER), Chandigarh, India.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">STATA 15.0 software (StataCorp LP, Texas, USA) was used for all statistical analyses.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STATA</div><div>suggested: (Stata, RRID:SCR_012763)</div></div><div style="margin-bottom:8px"><div>StataCorp</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

It is essential to thus engage various level of health care providers and strategize vaccine messages to parents especially from lower education status Limitations of this study that should be considered include the sampling strategy adopted by the study which may not be representative of all parents in the country, hence limits the generalizability of our finding. The cross-sectional design of the study should be interpretated carefully when accessing overall prevalence of vaccine hesitancy among parents in India. Our sample represented individuals with internet access and having mobile literacy. This does not necessarily reflect the country wide perception of parents towards vaccine and their intention to get children vaccinated. Despite the above limitations, our study assessed nationally representative sample of parents regarding their perceptions and intentions to vaccinate their children at a critical time, just as adult COVID-19 vaccination programs was initiated in India. Our findings reminiscent of recent research suggesting that there is a low demand for COVID-19 vaccine among parents, and highlights the need for longitudinal studies to measure the acceptability of a COVID-19 vaccine at different intervals. Future studies are thus required to supplement our current findings to enhance vaccine uptake among children in India. Nevertheless, our study establishes evidence regarding parent’s hesitancy towards getting their children vaccinated and their concerns in coming...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.30.21265699: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265683: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">), Isolate USA-WA1/2020 (109 copies/ml) Zika virus, PRVABC59 (1010 copies/ml) Marburg Marburgvirus, H. sapiens-tc/AGO/2005/Angola-200501379 (1011 copies/ml) All samples have cell lysate from Cercopithecus aethiops kidney epithelial cells (Vero E6) as the base media.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: RRID:CVCL_XD71)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Control - Vero 6 cell lysate from BEI Resources Human pooled saliva - Innovative Research The virus samples were handled in BSL-2 laboratory conditions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero 6</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Thereafter, the TreeBagger built-in Matlab function was used to perform classification-based random forest with sample replacement and curvature-based predictor selection.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Matlab</div><div>suggested: (MATLAB, RRID:SCR_001622)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

With the limitations of the current widely used methods, there is a constant need for techniques that are rapid, easy to operate, inexpensive and can be applied to any kind of viruses with no/minimal modifications. The sensing platform we report here has the capability to be built into an inexpensive mass testing technology with a positive result in less than 25 minutes. Although rapid antigen testing can provide marginally faster results (15 mins), the accuracy is lower (44). The large area nano manufactured flexible sensor surface can be mounted on any surface like doorknobs, cylinders, building entrance etc. to enable on-site rapid testing with a handheld Raman setup. The capability of having the entire sensing area on a flexible substrate enables the fabrication of sensor patches that can be placed on face masks or skin for continuous surveillance. Our choice of nanostructure encompasses an architecture with realistic design parameters to enable one-step lithography-free fabrication while ensuring enough interaction between the nanostructures for increasing the detected signal. It is well known that Raman scattering is a weak phenomenon and signals from biological material are even weaker. Thus, to have a sufficient signal-to-noise ratio, we have used silver nanostructures with resonance matched to the excitation laser frequency for maximizing the Raman scattering signal. A less noisy spectrum enables more accurate use of machine learning algorithms for successfully class...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 6. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265687: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Self-reported race and ethnicity were classified into 3 mutually exclusive categories: Non-Hispanic White (White), Non-Hispanic Black (Black), and Hispanic (Supplemental Table 1).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Non-Hispanic White</div><div>suggested: None</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265628: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: IRB approval: This study was approved by the institutional review boards of the California Department of Public Health and the University of California, San Francisco.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Records included the decedent’s race/ethnicity, sex (male or female), date of birth, date of death, and open text fields for primary occupation and industry, described as “type of work done during most of working life”.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

This study has several limitations. First, we may underestimate the relevance of education and occupation because we used indirect measures of risk that were indexed by codes for primary occupation in life rather than direct measures of occupational exposure. Second, we did not account for within-household transmission initiated by an occupational exposure. We may underestimate the importance of occupation since household members with different occupation codes share COVID-19 risk associated with each other’s work. Third, we only included confirmed COVID-19 deaths, conceivably leading to an underestimate of true inequities: some racial/ethnic groups may be more likely to die at home without COVID-19 testing and therefore not be counted as a COVID-19-confirmed death.(36) Fourth, we could only control for potential confounders measured in both the death and ACS records. Absent further covariate adjustment, education and occupation may proxy for other factors such as social class, intergenerational wealth/debt, parental education, and non-citizen legal status.(37) Unmeasured potential confounders of particular concern are comorbidities, housing composition and density (including housing instability, homelessness, and incarceration), access to high-quality healthcare, and undocumented legal status. However, these factors may also be part of the causal pathway from structural racism, education, and occupation to COVID-19 death.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a protocol registration statement.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265691: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21263107: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Authentication: qRT-PCR screening was performed using 2 µL of purified RNA, TaqPath 1-step Multiplex Master Mix (No ROX) and an in-house validated multiplex assay.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Synthetic RNA targets: RNA standards of the SARS-CoV-2 whole genome and variant spike proteins were provided by Exact Diagnostics through Bio-Rad Laboratories, Hercules, CA (catalog numbers COV019, COV019CE, COVA, COVB, COVE, COVG).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Bio-Rad Laboratories</div><div>suggested: (Bio-Rad Laboratories, RRID:SCR_008426)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Primer Design: Primers were designed by using the primer3 server13.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>primer3</div><div>suggested: (Primer3, RRID:SCR_003139)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The desired fractions were then ethanol precipitated and resuspended in water, and their concentration was determined by NanoDrop spectrophotometer.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>NanoDrop</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Multiplex qRT-PCR with patient samples: Patient samples were tested in a similar manner to how we tested the assay’s sensitivity and specificity. 5 µL of each sample was combined with 15 µL each completed master mix using TaqPath and run as mentioned before.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>TaqPath</div><div>suggested: None</div></div></td></tr></table>

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Results from OddPub: Thank you for sharing your data.

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265635: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

There were some limitations in our study. The choice of vaccine was not randomized and there might be a selection bias in those opting for each vaccine. Our study only focused on investigating the immunogenicity at 1 month after two doses of vaccination. The durability of immune responses needs to be monitored; and indeed, this cohort will be followed up to address this question in the coming years. Our estimates to adjust for antibody waning was based on reports on CoronaVac, comparable to data for BioNTech was lacking. Thus our assumption of comparable rates of antibody waning for the two vaccines may not be correct. We did not collect plasma prior to the second dose of vaccine to assess the effect of the first dose of the vaccine, or acute phase responses, where earlier responses may account for the final post vaccine differences as our primary study endpoint was neuralization titers after vaccination. Similar comparisons between vaccines in teenagers and older adults will be needed.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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SciScore for 10.1101/2021.10.28.21265629: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: Thank you for sharing your code.

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

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<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265669: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 Antibody Detection: Serology was conducted by Genalyte® (San Diego, CA), using their Maverick™ Multi-Antigen Serology Panel [15] that detects IgG and IgM antibodies to five SARS-CoV-2 antigens (Nucleocapsid, Spike S1-S2, Spike S1, Spike S1-RBD, Spike S2) within a multiplex format based on photonic ring resonance.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgM</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>antigens (Nucleocapsid, Spike S1-S2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A machine learning algorithm was used to call results using the Random Forest Ensemble method with 3000 decision trees.[16] HIV and HCV Serology: Rapid HIV and HCV tests were conducted using the Miriad® HIV/HCV Antibody InTec Rapid Anti-HCV Test (Avantor, Radnor, PA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-HCV</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were conducted using SAS, version 9.4.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SAS</div><div>suggested: (SASqPCR, RRID:SCR_003056)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Limitations of this study include the cross-sectional nature of the analysis, which precludes our ability to determine causal associations. Although this was a binational study, sampling was non-random and results may not generalize to other samples of PWID. We also relied on self-report and recall for many behaviors, which may have been subject to socially desirable responding. Although the COVID-19 disinformation scale we utilized had good internal consistency, other COVID-19 related knowledge measures have only been recently developed and, to our knowledge, have not been validated in this or other populations impacted by substance use. Our analysis excluded participants who were recruited before survey items on COVID-19 knowledge and vaccine hesitancy were developed. Since attitudes to COVID-19 vaccines may have changed over time, we controlled for time in our analysis. Future longitudinal, qualitative, and intervention-development studies are needed to better understand contextual factors influencing vaccine hesitancy in this population to identify strategies to best address these intervention targets. In conclusion, we identified a concerning level of COVID-19 vaccine hesitancy among community-recruited PWID in the San Diego-Tijuana border region, which was associated with COVID-19 related disinformation, reliance on social media as a source health information, younger age and co-morbidities. Interventions that increase accurate COVID-19 vaccine knowledge, trust and moti...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

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<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265601: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Of these, 33,302 participants who met the inclusion criteria provided informed consent and completed the baseline survey in an online format.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">6 Dependent variable: The dependent variable in the study was the following question about adoption of the COCOA: “Have you downloaded the Contact-Confirming Application (COCOA)?</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>COCOA</div><div>suggested: (TropGENE DB, RRID:SCR_005716)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were performed using Stata/SE 16.1 software (StataCorp, College Station, TX, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>StataCorp</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

There are several limitations to this study. First, we recruited participants who were registered with an internet research company. Therefore, we may have selected people who actively used the internet, smartphones, and apps. However, we consider this potential selection bias to be negligible because the COCOA downloading rate announced by the Ministry of Health, Labour and Welfare in December 2020 was 20.8%,23 and thus close to the rate in the present study (25.1%). Second, the present study used cross-sectional data for a single period of time. Therefore, the findings can only suggest associations between factors for this given period of time, and cannot capture changes over time within individuals. Third, in the multivariate logistic regression analyses, there was a possibility of unmeasured confounding. Unmeasured personal habits and behavioral patterns may have influenced the adoption of the DCT app.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.22.21265385: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethics: The Johns Hopkins University Institutional Review Board (IRB00279223) and Lesotho National Health Research Ethics Committee (ID 12-2021) approved this research.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Stata (version 16.1; StataCorp, College Station, Texas) was used for all analyses.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>StataCorp</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

There are two additional limitations worth noting. First, these results primarily reflect nurses as only three doctors participated. While the backbone of clinical care is nurses and nurses are key to patient monitoring during advanced respiratory care, this training may be more suitable for doctors than nurses. Given the very limited doctor participation we were unable to stratify our analysis by cadre as initially planned. For advanced respiratory care to be successful it will be important for doctors to participate in future trainings and reasons for their lack of attendance need clarification. In addition, given the severe human resource constraints in the health sector of Lesotho, nurses need to function independently when providing advanced respiratory care since doctors are few and unable to be continuously available for all patients. Second, to deploy the training quickly we made assumptions about the baseline educational background and working medical knowledge of providers. Before revising and redeploying this training a deeper understanding of healthcare worker educational backgrounds is needed. In sum, this study illustrates the challenges and lessons learned in designing and administering an advanced respiratory care educational training program in Lesotho during the COVID-19 pandemic. If a LDHF approach is not feasible then future renditions of this training will need to be lengthened to at least two days and better incorporate case based and simulation training...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.14.21264837: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

There are a number of limitations that need to be considered when interpreting our findings. First, we were not able to have representation from the A5 priority group (indigent population). While we initially were able to get a participant from this group based on the survey response, we later found during the interview that this individual belonged to a different vaccination priority classification. This may point to issues with online data collection where researchers are unable to reach individuals from low-resource households. Second, there may be social desirability bias because we were unable to ensure if the respondent had other people with them that may have caused a change in their responses. Additionally, we did not disclose any political affiliations and interests, but participants may have been cautious in mentioning negative experiences related to vaccination. Third, there may also have been Hawthorne effect with participants choosing more positive responses considering our background as health researchers. However, we emphasised that they will remain anonymous and their data treated with utmost confidentiality. Lastly, factors influencing COVID-19 vaccination uptake is context-specific, and this paper does not aim to represent all situations and circumstances.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.30.21265693: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: In this study, written informed consent was obtained independently to participate in this study from each participant.<br>IRB: This study was approved by the relevant institutional review board (approval number: B210800024).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Immunoglobulin G titer against SP and nucleocapsid (NP) IgG were determined using the commercial chemiluminescent enzyme immunoassay (AIA-CL SARS-CoV-2 SP IgG antibody detection reagent, Tosoh, Japan).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>NP) IgG</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>SARS-CoV-2 SP IgG</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Then, 50% neutralizing titer (NT50) values were calculated using the Image J software (NIH).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Image J</div><div>suggested: (ImageJ, RRID:SCR_003070)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analyses were performed using the Prism 9.1 (GraphPad Software, San Diego, CA, USA) and JMP Pro 15 software (SAS Institute, Cary, NC, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div><div style="margin-bottom:8px"><div>SAS Institute</div><div>suggested: (Statistical Analysis System, RRID:SCR_008567)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

This study has several limitations. For instance, the data on SP-specific T-cell response immediately after the vaccination was lacking and the sample size of the cohort was small. In addition, generally, cellular immunity is weakened in elderly and immunosuppressed individuals. However, our study demonstrated that antibody titers do not necessarily correlate well with cellular immunity, indicating that the dynamics of cellular immunity are different from those of humoral immunity and suggesting that the evaluation of cellular immunity is warranted for long-term evaluation of the efficacy of SARS-CoV-2 vaccines.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265678: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The Institutional Review Boards of the Massachusetts Department of Public Health and the UMass Chan Medical School approved waivers of consent for the de-identified public health<br>Consent: The Institutional Review Boards of the Massachusetts Department of Public Health and the UMass Chan Medical School approved waivers of consent for the de-identified public health</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Study population: Women who were residents of Massachusetts, gave birth in Massachusetts and whose infants’ dried blood spot (DBS) specimens had completed routine newborn screening met study surveillance inclusion criteria with the DBS specimens serving as surrogates for the women.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The receptor binding domain (RBD) of the Spike protein used as ELISA Ag was expressed using HEK-293F cells and prepared as follows: a plasmid containing His-tagged RBD was transiently transfected in HEK-293F cells using PEI.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HEK-293F</div><div>suggested: RRID:CVCL_6642)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Testing laboratories reported replicate OD and IgG concentration results for all well locations from specified plates to investigators at the New England Newborn Screening Program (NENSP)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>New England Newborn Screening Program</div><div>suggested: None</div></div></td></tr></table>

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Results from OddPub: Thank you for sharing your code and data.

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Our findings are subject to at least several limitations and biases. As noted, selection bias could arise because fundamental risk differences between pregnant women and the general population are not accounted for in our statistical model. The direction and causes of this potential bias vary: pregnant women could have less exposure to SARS-CoV-2 due to behavioral choices, depending on sociodemographic characteristics, but increased biological susceptibility to infection due to immune weakening. Nonetheless, estimates from cohorts with clear selection biases, such as blood donors or healthy volunteers, can still meaningfully inform seroprevalence estimates in the general population [18, 24-26]. Second, misclassification bias can occur due to imperfect test sensitivity and specificity. We have estimated specificity using a pre-pandemic sample of DBS and have incorporated it into the statistical model; however, we do not have an estimate for sensitivity. Accounting for imperfect test sensitivity would be expected to shift the seroprevalence estimates higher and widen the credible intervals (Supplementary Figure 7), due in part to the uncertainty involved in measuring sensitivity itself. By assessing the distribution of maternal antibodies to SARS-CoV-2 statewide and over time, our study provides a strategy for the systematic evaluation and estimation of population-wide cumulative incidence of SARS-CoV-2. Prospective use of NBS-based cumulative incidence estimates of exposure fo...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a protocol registration statement.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265549: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was approved by the Northern Sydney Local Health District Human Research Ethics Committee (approval number: LNR/14/HAWKE/181) and all patients provided an informed consent.<br>Consent: The study was approved by the Northern Sydney Local Health District Human Research Ethics Committee (approval number: LNR/14/HAWKE/181) and all patients provided an informed consent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">24 Blood samples (FBC, biochemistry, immunoglobulins G, A, M, IgG subclasses, phenotyping and COVID-19 antibody levels) were taken pre-vaccination, then following vaccination doses 1 (D1) and 2 (D2) approximately 2 to 4 weeks following each dose.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>COVID-19</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>D1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 IgG II Quant assay® (Abbott Diagnostics) was performed in accordance with the manufacturer’s instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Abbott</div><div>suggested: (Abbott, RRID:SCR_010477)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265622: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Antibody characterization: Samples were tested at Vitalant Research Institute (VRI; San Francisco, CA) to measure the levels of total Ig and IgG antibodies against the S1 domain of the SARS-CoV-2 spike antigen, in vitro binding and ACE2 inhibition against S1, N and RBD, and neutralization titers.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>S1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, renilla luciferase RVPs bearing Spike from the ancestral strain Wuhan-Hu-1, B.1.1.7, B.1.351, P.1, B.1.1.7+E484K, B.1.617.2, and B.1.427 were first titrated on 293T/ACE2/TMPRSS2 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T/ACE2/TMPRSS2</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Briefly, renilla luciferase RVPs bearing Spike from the ancestral strain Wuhan-Hu-1, B.1.1.7, B.1.351, P.1, B.1.1.7+E484K, B.1.617.2, and B.1.427 were first titrated on 293T/ACE2/TMPRSS2 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Wuhan-Hu-1</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Results were calculated as percent of no serum controls and dose response curves produced in Prism 9 (GraphPad) were generated to calculate 50% neutralization titers (NT50).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All tests were performed on GraphPad Prism 9.0.0.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

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Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265624: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Eligible individuals received an invitation letter containing a one-time code and instructions to visit the online study portal, enter the code, create an account, read and sign an online informed consent, input their mailing address, and respond to a brief demographic survey (33).<br>IRB: Ethical considerations: This study was approved by the MGB Institutional Review Board.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Authentication: Pepper provides Application Programming Interfaces (APIs) and user interfaces for participants, study team and logistical partners, utilizes 3rd party services, such as Auth0 for user authentication and authorization, SendGrid to distribute email communications to participants, and abides by all HIPAA security and breach rules.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data from Pepper was imported and supplemented with data from MGB medical records and stored in REDCap (Research Electronic Data Capture), a secure, web-based software platform designed to support data capture for research studies, hosted by MGB (36,37).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Pepper</div><div>suggested: (PEPPER, RRID:SCR_000431)</div></div><div style="margin-bottom:8px"><div>REDCap</div><div>suggested: (REDCap, RRID:SCR_003445)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.18.21264530: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: Thank you for sharing your data.

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265616: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethics approval was obtained from each participating institution’s ethics research board, with waiver for informed consent for health records research (Supplementary methods).<br>Consent: Ethics approval was obtained from each participating institution’s ethics research board, with waiver for informed consent for health records research (Supplementary methods).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">19 Data Collection: Data on primary indication for admission, demographics, comorbidities, clinical presentation and course, coinfections, treatments, and complications were abstracted by the investigators from the patient’s medical charts and managed using REDCap electronic data capture tools.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>REDCap</div><div>suggested: (REDCap, RRID:SCR_003445)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Our study has limitations. First, reporting may not have been uniform across centers despite the use of a study protocol and a standardized data capture tool. This includes but is not limited to the interpretation of chest radiographs, definition of obesity, and the severity of comorbidities. Also, the respective comorbidities can represent a heterogeneous group of diseases with different etiologies. Second, despite being one of the largest pediatric cohort studies with more than 100 severe cases, the numbers of some individual comorbidities are small. This might overestimate or underestimate the impact of infrequent comorbidities such as anemia and/or hemoglobinopathy, chromosomal, or cardiac disorders. Third, laboratory investigations were not systematically performed. Complete blood counts, CRP, and albumin values were missing in 4.2%, 15%, and 67%, respectively. We therefore could not assess the latter in multivariable models. Moreover, laboratory investigations were done at the clinicians’ discretion, not at set time points during the illness. Other parameters previously described as risk factors could not be evaluated. This includes ethnicity4,7,9,12 which was not readily accessible from hospital records. In addition, viral sequencing data was not available, accordingly we cannot evaluate the impact of different SARS-CoV-2 variants. Fourth, indications for testing for SARS-CoV-2 likely varied by center and over time, which might have affected the clinical spectrum of in...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265511: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: In addition, health care workers (HCWs; n = 92) from these units donated similar blood samples during the study period at time points 0, 1, 2 and 3 months after written informed consent.<br>IRB: The study was approved by the ethics committee of the Antwerp University hospital (EC number 20/13/156, internal EDGE 001070).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Measurements were performed in randomized batches.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Anti-SARS-CoV-2 immunoglobins (Ig) in blood were tested by three commercial tests, namely, Liaison SARS-CoV-2 S1/S2 IgG (DiaSorin, Saluggia, Italy), Alinity SARS-CoV-2 IgG (Abbott, Chicago, IL, USA), and Elecsys Anti-SARS-CoV-2 (Roche, Basel, Switzerland), as described [26].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Abbott</div><div>suggested: (Abbott, RRID:SCR_010477)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistics: All data were analysed using SPSS v27, R (version R4.0.4) and Metaboanalyst 5.0 (https://www.metabo-analyst.ca/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Group differences in CCG profiles were explored by Partial Least-Squares Discriminant Analysis (PLS-DA) using Metaboanalyst.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Metaboanalyst</div><div>suggested: (MetaboAnalyst, RRID:SCR_015539)</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

As limitations, this study is a case-control study and prospective data collection especially for patients who were not positive for SARS-CoV-2 was not possible. Secondly, although older healthy controls were enrolled for this study, this group remained younger and had fewer co-morbidities compared to the cancer groups. And lastly, as the study was conducted in an oncology unit setting, cancer patients that were immediately transferred to the COVID-19 wards and had succumbed to the infection, were not included.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265615: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We conducted a serological survey for IgG antibodies with affinity to trimeric spike, receptor binding domain and nucleocapsid protein targets from individuals in 309 households of which 24 were in the enriched group, and defined a cut-off value for seropositivity.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgG</div><div>suggested: (GeneTex Cat# GTX22573, RRID:AB_371961)</div></div></td></tr></table>

---

Results from OddPub: Thank you for sharing your code and data.

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265608: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Prior to the interview, a telephone contact was held in which the reasons for the interview were explained, the necessary information was provided and an e-mail with the consent form was sent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265596: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">To test whether ICTR is a better measure than TPR for inter country comparison, the study used regression analysis to test the strength of association and predictive power of these two indicators with the change in number of SARS-CoV-2 cases, and compared the respective R, R2, F and p-values.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Study limitations: The study restricts the analysis to only five countries and hence future studies using ICTR can check its validity and implications for larger set of countries.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265604: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

However, strengths and limitations of our approach need to be considered. A checklist was used in this derived from the “PIET-T Process model” which was designed specifically to examine the scope for the potential transferability of healthcare interventions from one context to another. While it is a strength to have a theoretically informed approach, there are no established cut-offs for transferability. We chose to focus on those interventions that were amongst the most highly rated and tried to minimise subjectivity by using multiple scorers. The limited research in the area meant we had to broaden our scope to all workers and not just healthcare workers. Extracting intervention information from a previous systematic review6 allowed for a more thorough search of the literature to be conducted. Studies not written in English were excluded from the search and this may have led to important studies being left out of the review. Only one database was searched for updated relevant literature from 2015 onwards. Only one study gave any information about how the intervention could be transferred to a different context. The target context of this study included frontline HCWs in a hospital setting in Ireland due to the analysts involved being more familiar with this healthcare system, this may limit the generalisability of our findings. Interventions were generally poorly described and therefore replication of the original intervention may be difficult. A thorough examination of rob...

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265578: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethics approval: The study was approved by the University Health Network (#20-6177) and the University of Toronto Health Sciences Research Ethics Boards (#40300).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265610: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Hamilton Integrated Research Ethics Board (Project #: 12862-C) and Howard University Office of Regulatory Research Compliance (IRB-12-CMED-76).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Patient demographics (age, sex, nursing home, known exposure, hospital admission, duration of symptoms, length of stay), symptoms (fever, dyspnea, cough, fatigue, myalgia, loss of taste, loss of appetite, abdominal pain, nausea, vomiting, diarrhea, dysphagia, gastrointestinal bleeding, pancreatitis, cholecystitis), underlying comorbidities (hypertension, cardiac disease, diabetes, obesity, smoking, alcohol intake, history of luminal gastrointestinal disease, liver disease, alcohol abuse, inflammatory bowel syndrome, gastrointestinal cancer, pancreatitis, gastroesophageal reflux disease or peptic ulcer disease), and laboratory data measured at baseline: international normalized ratio (INR) (0.8 - 1.2); total bilirubin (<21); direct bilirubin (<5); creatinine (male 60-110, female 49-90); C-reactive protein (<10.0); lactate dehydrogenase (120-250); fibrinogen (1.6-4.2); alanine aminotransferase (ALT) (male <50, female <35); albumin (42-50); platelets (130-400), creatine phosphokinase (CPK) (male less than 60 years old 45-250, male greater than 60 years old 40-200, female all ages 30-150); WBC (4.8-10.8); aspartate transaminase (AST) (male 18-54, female 18-34); alkaline phosphatase (ALP) (38-126).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SPSS version 26 (SPSS Inc., Chicago, IL, USA) was used for these analyses.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265544: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Response data for all SARS-CoV-2 S1 analyte injection concentrations was exported from EZSuite and analysed using Scrubber2 (Ver2.0g, HORIBA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Scrubber2</div><div>suggested: (Scrubber2, RRID:SCR_015745)</div></div></td></tr></table>

---

Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a protocol registration statement.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265499: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265588: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Organisms/Strains</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Six subject matter experts with experience in virology (KRS, JES), clinical practice (AB, CLL, JL), biostatistics (MW, KM), and infectious disease epidemiology (CLL, JL) were involved in gathering and interpreting available information.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>AB</div><div>suggested: RRID:BDSC_203)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The most influential nodes were identified using the ‘Sensitivity Analysis’ function in the GeNie modeller software program (Bayes Fusion 2019).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GeNie</div><div>suggested: (GENIE, RRID:SCR_009197)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: No clinical trial numbers were referenced.

---

Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.28.21265598: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

NIH rigor criteria are not applicable to paper type.

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For diagnoses represented by International Statistical Classification of Diseases and Related Health Problems version 10 (ICD-10) codes, the selected time window was three years, while for medications represented by Anatomical Therapeutic Chemical (ATC) codes, the time window was one year.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ATC</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Feature engineering was performed in Python using the pandas61 and numpy62 libraries.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>

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Results from OddPub: Thank you for sharing your code.

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

To overcome some of these previous limitations, we used electronic health records (EHR) from eastern Denmark, identifying 33,938 patients who had at least one positive SARS-CoV-2 RT-PCR test. To enable ML algorithms, clinical data need to be encoded into features that can be computed. Multiple approaches have been suggested for encoding EHR into computationally meaningful representations30,31. We opted for a simple feature engineering approach by considering the latest values or counts in clinically relevant time windows prior to FPT depending on the type of variable. Additionally, instead of characterizing patients’ relevant history using a limited set of pre-selected variables, the set of 22 features in the final model were derived using a data-driven approach from an initial set of 2,723 features that encoded available demographics, laboratory test results, hospitalizations, vital parameters, diagnoses and medicines. This approach enabled us to reduce model complexity to a smaller feature set while avoiding potential bias introduced by pre-selecting variables. While EHR are more representative of patient populations in terms of real-world data (RWD)32, some challenges arise when processing EHR for clinical research. Data collected from routine care may present inconsistencies33 that cannot be appropriately curated for in such big data sets, especially for information regarding clinical interventions or hospitalization status. We thus selected SARS-CoV-2 positive status and...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.29.21265248: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All participants provided written informed consent.<br>Field Sample Permit: This work was carried out in collaboration with Moderna, Inc. and the Biomedical Advanced Research and Development Authority (BARDA), part of the office of the Assistant Secretary for Preparedness and Response at the U.S. Department of Health and Human Services.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Procedures: Participants were randomised in a 1:1:1 ratio, using a permuted block method stratified by site and by age group (< 75 years and ≥ 75 years), to receive concomitant administration of QIV-HD and mRNA-1273 vaccine (Coad group), QIV-HD alone (QIV-HD group), or mRNA-1273 vaccine alone (mRNA-1273 group).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Authentication: The SARS-CoV-2 Pre-Spike IgG enzyme-linked immunosorbent assay was a validated assay, performed by Nexelis (Laval, Quebec, Canada) as previously described.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To describe the SARS-CoV-2 binding antibody response, the following endpoints were reported for each treatment group: geometric mean concentration (GMCs) of anti-S binding IgG on D1 and D22, and D22/D1 ratios; ≥ two-fold-rise and ≥ four-fold-rise in anti-S binding IgG on D22.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-S binding IgG</div><div>suggested: (Imported from the IEDB Cat# mAb 201, RRID:AB_2848089)</div></div><div style="margin-bottom:8px"><div>D22</div><div>suggested: None</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04969276</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Study of a Quadrivalent High-Dose Influenza Vaccine and a Mo…</td></tr></table>

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.27.21265591: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Computational methods and availability: All calculations were made in Python 3.8 and are available as coded in Jupyter notebooks on the laboratory Github (9).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>

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Results from OddPub: Thank you for sharing your code and data.

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Limitations: Our study was limited in that it focused on the population of individuals over 70 years old. The number of deaths in this age group was 61% of total deaths before mass vaccination of the older population, i.e., before the study period. During the study period the percentage of deaths in this group was 40%. The study period after vaccinations was limited due to uncertainties related to the Delta variant and the temporal period of vaccine efficacy in individuals. Therefore we limited the study period to the end of June before the Delta variant created new patterns of rising cases. Thus, the precise results relate to conditions in which the Alpha variant was predominant, and the vaccine efficacy was presumed to be high. Many questions about the effects of vaccination on the Delta variant remain unanswered with real world data as it is presently in clear how much of the rise in deaths may be due to vaccines wearing off. Calculating the precise number of saved lives by any vaccine is an impossible task. The counterfactual number of deaths if the public had never been vaccinated depends upon many variables that change because of the patient’s vaccine uptake. For example, we might assume that due to the high uptake of the COVID-19 vaccine in Israel, the government became less strict in terms of closures, but how strict exactly it might have been in the counterfactual world is a mystery and only one of many variables affecting transmissions and deaths. After a steep rise...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.26.21265497: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Similarly, the NIBSC Anti-SARS-CoV-2 Antibody Diagnostic Calibrant (20/162</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2</div><div>suggested: None</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

---

Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04318314</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">COVID-19: Healthcare Worker Bioresource: Immune Protection a…</td></tr></table>

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.26.21265146: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

<table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The model was rewritten in RStudio since the original script was written in MATLAB.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MATLAB</div><div>suggested: (MATLAB, RRID:SCR_001622)</div></div></td></tr></table>

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

---

Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

Lack of information regarding population and COVID-19 infection dynamics in each sewershed is one of the limitations of this study, preventing us from doing a sewershed-based analysis. Peak concentrations of SARS-CoV-2 were observed on the day when critical-level restrictions were enforced and the following 4th and 6th day (Fig. 4). Other observed concentrations after the first detection were generally in close proximity with the modeled concentrations for at least one genomic target. Different decay rates for N1 and N2 resulted in higher concentrations of N1 for back-trajectory modeled samples collected between November 16th and December 15th, while the difference between N1 and N2 concentrations for the rest of the samples was smaller than 0.35 on log10 scale (Fig. 4). The decay rate of N1 was calculated based on the degradation of genomic signals of gamma-irradiated SARS-CoV-2 by Ahmed et al. (2020b) and had a higher standard deviation of 15% and lower R2 of 0.79 compared to those values of N2, which were based on degradation of active SARS-CoV-2 (Hokajärvi et al., 2021a) (Table 2). Gamma irradiation of SARS-CoV-2 and relatively higher variations in the decay rate of N1 might result in significant biases in such a back-trajectory modeling approach. Therefore, we mostly consider N2 concentrations for back-trajectory modeled samples in the discussion. The critical level restrictions in Manitoba were applied when extensive community transmission of COVID-19 occurred, outbreak...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

---

Results from JetFighter: We did not find any issues relating to colormaps.

---

Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• No protocol registration statement was detected.

---

Results from scite Reference Check: We found no unreliable references.

---

<footer>

About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

</footer>

SciScore for 10.1101/2021.10.26.21265261: (What is this?)

Please note, not all rigor criteria are appropriate for all manuscripts.

Table 1: Rigor

<table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Ethics</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Both VAERS and v-safe conduct surveillance as a public health function and are exempt from institutional review board review.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>

Table 2: Resources

No key resources detected.

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Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

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Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

There are clear limitations in any review of preliminary mortality data. A comparison to national mortality data,20,50 suggests that certain causes of death such as accidents, suicides, or cancer, are less likely to be reported to VAERS. The predominance of heart disease as a cause of death reports to VAERS warrants continued monitoring and assessment, but may be driven by non-specific causes, like cardiac arrest, that might be chosen as a terminal event if no immediate explanation is available. Death certificate or autopsy reports were available only for a small proportion of deaths reported to VAERS. Finally, VAERS is designed as an early warning system to detect potential safety signals8 and VAERS data alone generally cannot establish causal relationships between vaccination and AEs. Other studies and surveillance systems, including the VSD, are needed to better understand patterns of mortality following mRNA COVID-19 vaccination.23,51 This study has several strengths, including the large population under surveillance and comprehensive capture of national data from two complementary surveillance systems. Because the U.S. government purchased all COVID-19 doses and collected administration data, we were able to calculate VAERS reporting rates using the number of mRNA vaccine doses administered.52 In contrast, past VAERS analyses for other vaccines could only use doses distributed, which are always greater than doses administered as denominators, underestimating vaccine adve...

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Results from TrialIdentifier: No clinical trial numbers were referenced.

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Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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Results from JetFighter: We did not find any issues relating to colormaps.

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Results from rtransparent:

• Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
• Thank you for including a protocol registration statement.

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Results from scite Reference Check: We found no unreliable references.

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About SciScore

SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

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