- Nov 2020
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boardgamegeek.com boardgamegeek.com
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The final turn can bog down if players are calculating exactly what everyone’s score will be depending on which discs are chosen - better to just take what’s best for you and move on.
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psyarxiv.com psyarxiv.com
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Fischer, R., & Karl, J. (2020). Predicting behavioral intentions to prevent or mitigate COVID-19: A meta-analysis. PsyArXiv. https://doi.org/10.31234/osf.io/ek69g
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- Oct 2020
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My question to you is, what is the benefit of your definition of dirty? What superior UX does it allow you to implement?
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stats.idre.ucla.edu stats.idre.ucla.edu
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Power Analyses
Power Analyses with SPSS, R, Stata, SAS
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www.thelancet.com www.thelancet.com
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Hone, T., Mirelman, A. J., Rasella, D., Paes-Sousa, R., Barreto, M. L., Rocha, R., & Millett, C. (2019). Effect of economic recession and impact of health and social protection expenditures on adult mortality: A longitudinal analysis of 5565 Brazilian municipalities. The Lancet Global Health, 7(11), e1575–e1583. https://doi.org/10.1016/S2214-109X(19)30409-7
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The purpose of this toolkit is to familiarize the user with intellectual and developmental disabilities (I/DD) and communication techniques to assist in successfully facilitating a healthy living program for individuals with I/DD. These are suggested techniques particularly helpful for those who don’t have any experience working with individuals who have I/DD.
This toolkit can be used as a starting point for working with or developing programs that people with a developmental or intellectual disability might use. It does not go into detail but offers strategies for communication, behavior and setting learners up for success.
10/10 It is short and highly informative with free resources within it.
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hapgood.us hapgood.us
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A stunning thing that we forget, but the link here is not part of the author’s intent, but of the reader’s analysis. The majority of links in the memex are made by readers, not writers. On the world wide web of course, only an author gets to determine links.
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oro.open.ac.uk oro.open.ac.uk
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Burel, Gregoire; Farrell, Tracie; Mensio, Martino; Khare, Prashant and Alani, Harith (2020). Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In: Proceedings of the 12th International Social Informatics Conference (SocInfo), LNCS.
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t’s not clear why the sequence of the vaccines only mattered in girls, partly because there has been very little research into how male and female immune systems are different. “Somehow immunology has been blind to sex,” says Aaby. “If you read research about mortality in low income countries, there is no such thing as boys and girls – there are children. So we perceive that they have to be the same, and they are definitely not the same.”
Take away: "Immune training" or bystander effects from other vaccinations may help to fight off Covid-19 or other infections, in spite of not being specific to that pathogen. Some of these effects are sex-specific.
Claim: "Somehow immunology has been blind to sex"
The evidence: This is not entirely true- there is actually a LOT of research into sex differences in the immune response, and it is well-known that women can generally mount stronger Th1-type immune responses against viral infections than men. This is thought to be partially linked to estrogen cycling, and partly due to the fact that women have 2 active copies of genes associated with immunity because those are encoded on the X chromosomes. Men only have 1 copy, and thus they don't generally mount as strong an inflammatory response. However, women are also more prone to autoimmune diseases as a consequence of having stronger inflammatory responses than men, which is seen in diseases such as multiple sclerosis, rheumatoid arthritis, and lupus.
Sources: (https://www.nature.com/articles/nri.2016.90).
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arxiv.org arxiv.org
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Yuan, Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, and Yong Li. ‘Disruption in the Chinese E-Commerce During COVID-19:A Case Study of the Beidian Platform’. ArXiv:2009.14605 [Physics], 22 July 2020. http://arxiv.org/abs/2009.14605.
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justintimecoder.com justintimecoder.com
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Tree-shaking is the process of analyzing the code files that are required to run your application and then including only code that is actually used by your application.
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- Sep 2020
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iriss.stanford.edu iriss.stanford.edu
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2020 Conference on Computational Sociology | IRiSS. (n.d.). Retrieved 30 September 2020, from https://iriss.stanford.edu/css/conferences/2020-conference-computational-sociology
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www-sciencedirect-com.ezproxy.neu.edu www-sciencedirect-com.ezproxy.neu.edu
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exposure limits are determined by the following equations (NIOSH, 2016):(4)ÂRAL[°C-WBGT]=59.9-14.1log10M<math><mrow is="true"><mi mathvariant="normal" is="true">R</mi><mi mathvariant="normal" is="true">A</mi><mi mathvariant="normal" is="true">L</mi><mo stretchy="false" is="true">[</mo><mi is="true">Â</mi><mi is="true">°</mi><mi mathvariant="normal" is="true">C</mi><mo is="true">-</mo><mi mathvariant="normal" is="true">W</mi><mi mathvariant="normal" is="true">B</mi><mi mathvariant="normal" is="true">G</mi><mi mathvariant="normal" is="true">T</mi><mo stretchy="false" is="true">]</mo><mo is="true">=</mo><mn is="true">59.9</mn><mo is="true">-</mo><mn is="true">14.1</mn><mi mathvariant="normal" is="true">l</mi><mi mathvariant="normal" is="true">o</mi><mi mathvariant="normal" is="true">g</mi><mn is="true">10</mn><mi mathvariant="normal" is="true">M</mi></mrow></math>(5)Â
regressional analysis of exposure limits
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erj.ersjournals.com erj.ersjournals.com
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Gupta, R. K., Marks, M., Samuels, T. H. A., Luintel, A., Rampling, T., Chowdhury, H., Quartagno, M., Nair, A., Lipman, M., Abubakar, I., Smeden, M. van, Wong, W. K., Williams, B., & Noursadeghi, M. (2020). Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study. European Respiratory Journal. https://doi.org/10.1183/13993003.03498-2020
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Cookson, C. (2020, March 24). Coronavirus may have infected half of UK population—Oxford study. https://www.ft.com/content/5ff6469a-6dd8-11ea-89df-41bea055720b
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medium.com medium.com
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Because ESM is syntax, it’s very easy to statically analyze.
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github.com github.com
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Svelte started with no decoupling anywhere, with everything available at compile-time. Then <:Component> introduced separation at the component level -- but they're still coupled at properties. The spread feature would fill that gap. I see it as an intentional separation as opposed to an accidental shot at static analysis.
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science.sciencemag.org science.sciencemag.org
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Saad-Roy, C. M., Wagner, C. E., Baker, R. E., Morris, S. E., Farrar, J., Graham, A. L., Levin, S. A., Mina, M. J., Metcalf, C. J. E., & Grenfell, B. T. (2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science. https://doi.org/10.1126/science.abd7343
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psyarxiv.com psyarxiv.com
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Karwowski, M., Zielinska, A., Jankowska, D., Strutynska, E., Omelanczuk, I., & Lebuda, I. (2020). Creative Lockdown? A Daily Diary Study of Creative Activity During Pandemics. 10.31234/osf.io/kvesm
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academic.oup.com academic.oup.com
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Offeddu, V., Yung, C. F., Low, M. S. F., & Tam, C. C. (2017). Effectiveness of Masks and Respirators Against Respiratory Infections in Healthcare Workers: A Systematic Review and Meta-Analysis. Clinical Infectious Diseases, 65(11), 1934–1942. https://doi.org/10.1093/cid/cix681
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github.com github.com
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The static analysis considerations make things like hero.enemies.map(...) a non-starter — the reason Svelte is able to beat most frameworks in benchmarks is that the compiler has a deep understanding of a component's structure, which becomes impossible when you allow constructs like that.
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www.imperial.ac.uk www.imperial.ac.uk
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COVID-19 reports. (n.d.). Imperial College London. Retrieved September 17, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/covid-19-reports/
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psycnet.apa.org psycnet.apa.org
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Moreau, D., & Gamble, B. (2020). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/met0000351
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www.thelancet.com www.thelancet.com
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Bax, A., Bax, C. E., Stadnytskyi, V., & Anfinrud, P. (2020). SARS-CoV-2 transmission via speech-generated respiratory droplets. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30726-X
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www.bmj.com www.bmj.com
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Siemieniuk, R. A., Bartoszko, J. J., Ge, L., Zeraatkar, D., Izcovich, A., Kum, E., Pardo-Hernandez, H., Rochwerg, B., Lamontagne, F., Han, M. A., Liu, Q., Agarwal, A., Agoritsas, T., Chu, D. K., Couban, R., Darzi, A., Devji, T., Fang, B., Fang, C., … Brignardello-Petersen, R. (2020). Drug treatments for covid-19: Living systematic review and network meta-analysis. BMJ, 370. https://doi.org/10.1136/bmj.m2980
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twitter.com twitter.com
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Max Primbs on Twitter. (n.d.). Twitter. Retrieved September 14, 2020, from https://twitter.com/MaxPrimbs/status/1304516869509066760
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psyarxiv.com psyarxiv.com
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Rajkumar, R. P. (2020). Novel Coronavirus Disease (COVID-19) and Suicide: Conceptual and Practical Considerations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/z7drs
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psyarxiv.com psyarxiv.com
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Schnuerch, M., Nadarevic, L., & Rouder, J. (2020). The truth revisited: Bayesian analysis of individual differences in the truth effect [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/nfm6k
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twitter.com twitter.com
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Joshua Salomon on Twitter. (n.d.). Twitter. Retrieved September 7, 2020, from https://twitter.com/SalomonJA/status/1302767010367983616
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www.medrxiv.org www.medrxiv.org
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Team, I. C.-19 F., & Hay, S. I. (2020). COVID-19 scenarios for the United States. MedRxiv, 2020.07.12.20151191. https://doi.org/10.1101/2020.07.12.20151191
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github.com github.com
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Codecheckers/covid-uk. (2020). [R]. CODECHECK. https://github.com/codecheckers/covid-uk (Original work published 2020)
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github.com github.com
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aaronpeikert. (2020). Aaronpeikert/reproducible-research [TeX]. https://github.com/aaronpeikert/reproducible-research (Original work published 2019)
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covid19mm.github.io covid19mm.github.io
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Sixth Report. (2020, June 19). COVID-19 Mobility Monitoring Project. https://covid19mm.github.io//in-progress/2020/06/19/sixth-report.html
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www.forbes.com www.forbes.com
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Perez, M. (n.d.). 55% Of U.S. Coronavirus Cases In CDC Analysis Are Black And Hispanic. Forbes. Retrieved June 28, 2020, from https://www.forbes.com/sites/mattperez/2020/06/15/55-of-us-coronavirus-cases-in-cdc-analysis-are-black-and-hispanic/
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www.newscientist.com www.newscientist.com
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Marshall, M. (n.d.). Scotland could eliminate the coronavirus – if it weren’t for England. New Scientist. Retrieved July 2, 2020, from https://www.newscientist.com/article/2247462-scotland-could-eliminate-the-coronavirus-if-it-werent-for-england/
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www.bloomberg.com www.bloomberg.com
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What Happens to Public Space When Everything Moves Outside. (2020, June 29). Bloomberg.Com. https://www.bloomberg.com/news/features/2020-06-29/what-happens-to-public-space-when-everything-moves-outside
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slate.com slate.com
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Sudhir, A. (2020, July 1). The Medical Case for Reopening Schools. Slate Magazine. https://slate.com/technology/2020/07/school-reopening-medical-case.html
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www.ajpmonline.org www.ajpmonline.org
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Liu, Y., Finch, B. K., Brenneke, S. G., Thomas, K., & Le, P. D. (2020). Perceived Discrimination and Mental Distress Amid the COVID-19 Pandemic: Evidence From the Understanding America Study. American Journal of Preventive Medicine, 0(0). https://doi.org/10.1016/j.amepre.2020.06.007
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www.medrxiv.org www.medrxiv.org
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Ip, A., Ahn, J., Zhou, Y., Goy, A. H., Hansen, E., Pecora, A. L., Sinclaire, B. A., Bednarz, U., Marafelias, M., Mathura, S., Sawczuk, I. S., Underwood, J. P., Walker, D. M., Prasad, R., Sweeney, R. L., Ponce, M. G., LaCapra, S., Cunningham, F. J., Calise, A. G., … Goldberg, S. L. (2020). Hydroxychloroquine in the treatment of outpatients with mildly symptomatic COVID-19: A multi-center observational study. MedRxiv, 2020.08.20.20178772. https://doi.org/10.1101/2020.08.20.20178772
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psyarxiv.com psyarxiv.com
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Scott, S., Rivera, K., Rushing, E., Manczak, E., Rozek, C. S., & Doom, J. (2020). “I hate this”: A qualitative analysis of adolescents’ self-reported challenges during the COVID-19 pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/4ctb7
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www.visualcapitalist.com www.visualcapitalist.com
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Ali, A. (2020, August 28). Visualizing the Social Media Universe in 2020. Visual Capitalist. https://www.visualcapitalist.com/visualizing-the-social-media-universe-in-2020/
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arxiv.org arxiv.org
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Carmona, H. A., de Noronha, A. W. T., Moreira, A. A., Araujo, N. A. M., & Andrade Jr, J. S. (2020). Cracking urban mobility. ArXiv:2008.13644 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2008.13644
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- Aug 2020
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www.thelancet.com www.thelancet.com
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Chaudhry, R., Dranitsaris, G., Mubashir, T., Bartoszko, J., & Riazi, S. (2020). A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes. EClinicalMedicine, 0(0). https://doi.org/10.1016/j.eclinm.2020.100464
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marketing.twitter.com marketing.twitter.com
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Embracing the slowdown. (n.d.). Retrieved August 30, 2020, from https://marketing.twitter.com/emea/en_gb/insights/embracing-the-slowdown
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psyarxiv.com psyarxiv.com
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Begum, M. R., Khan, S. I., Banna, H. A., Kundu, S., Hossen, M., Sayeed, A., Christopher, E., Hasan, M. T., Saba, S., & Shamsuzzoha. (2020). Mental health difficulties of adults with COVID-19-like symptoms in Bangladesh: A case control-study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ubwxv
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www.thelancet.com www.thelancet.com
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Lozano, R., Fullman, N., Mumford, J. E., Knight, M., Barthelemy, C. M., Abbafati, C., Abbastabar, H., Abd-Allah, F., Abdollahi, M., Abedi, A., Abolhassani, H., Abosetugn, A. E., Abreu, L. G., Abrigo, M. R. M., Haimed, A. K. A., Abushouk, A. I., Adabi, M., Adebayo, O. M., Adekanmbi, V., … Murray, C. J. L. (2020). Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30750-9
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psyarxiv.com psyarxiv.com
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Behrens. F., Kret. M. (2020) Under the Umbrella of Prosocial Behavior – A Critical Comparison of Paradigms. PsyArXiv Preprints. Retrieved from: https://psyarxiv.com/9uebc/
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bjgp.org bjgp.org
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Smith, C. F., Drew, S., Ziebland, S., & Nicholson, B. D. (2020). Understanding the role of GPs’ gut feelings in diagnosing cancer in primary care: A systematic review and meta-analysis of existing evidence. British Journal of General Practice, 70(698), e612–e621. https://doi.org/10.3399/bjgp20X712301
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www.theguardian.com www.theguardian.com
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Nottinghamshire woman, 75, may be first known UK Covid victim. (2020, August 25). The Guardian. http://www.theguardian.com/world/2020/aug/25/nottinghamshire-woman-75-may-be-first-known-uk-covid-victim
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Jarynowski, A., & Płatek, D. (2020). Could Ramadan catalyze or inhibit SARS-CoV-2 spread? Preliminary results [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/725dv
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www.medrxiv.org www.medrxiv.org
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Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2020). Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers. MedRxiv, 2020.06.26.20140871. https://doi.org/10.1101/2020.06.26.20140871
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osf.io osf.io
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Landgrave, M. (2020). How Do Legislators Value Constituent’s (Statistical) Lives? COVID-19, Partisanship, and Value of a Statistical Life Analysis. https://doi.org/10.31235/osf.io/n93w2
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journals.sagepub.com journals.sagepub.com
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Hohn, R. E., Slaney, K. L., & Tafreshi, D. (2020). An Empirical Review of Research and Reporting Practices in Psychological Meta-Analyses. Review of General Psychology, 1089268020918844. https://doi.org/10.1177/1089268020918844
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psyarxiv.com psyarxiv.com
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Moreau, D., & Gamble, B. (2020). Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/t5dwg
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www.thelancet.com www.thelancet.com
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Hogan, A. B., Jewell, B. L., Sherrard-Smith, E., Vesga, J. F., Watson, O. J., Whittaker, C., Hamlet, A., Smith, J. A., Winskill, P., Verity, R., Baguelin, M., Lees, J. A., Whittles, L. K., Ainslie, K. E. C., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L. V., … Hallett, T. B. (2020). Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: A modelling study. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30288-6
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Carl, N. (2020). An Analysis of COVID-19 Mortality at the Local Authority Level in England. https://doi.org/10.31235/osf.io/dmc2v
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osf.io osf.io
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Alipio, M. (2020). Do socio-economic indicators associate with COVID-2019 cases? Findings from a Philippine study [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/e2hfa
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twitter.com twitter.com
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mike johansen on Twitter: “This paper has got some MAJOR problems. I don’t know why this paper was accepted for publication (nor submitted for publication to be frank). Let’s dive in. 1/” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/mikejohansenmd/status/1280728008643555328
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www.nber.org www.nber.org
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Benitez, J. A., Courtemanche, C. J., & Yelowitz, A. (2020). Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities (Working Paper No. 27592; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27592
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www.medrxiv.org www.medrxiv.org
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Consiglio, C. R., Cotugno, N., Sardh, F., Pou, C., Amodio, D., Zicari, S., Ruggiero, A., Pascucci, G. R., Rodriguez, L., Santilli, V., Tan, Z., Eriksson, D., Wang, J., Lakshmikanth, T., Marchesi, A., Lakshmikanth, T., Campana, A., Villani, A., Rossi, P., … Brodin, P. (2020). The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19. MedRxiv, 2020.07.08.20148353. https://doi.org/10.1101/2020.07.08.20148353
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Kirkwood. I. (2020) HERE’S HOW #CDNTECH COMPANIES ARE PITCHING IN DURING COVID-19. Betakit. Retrieved from:https://betakit.com/heres-how-cdntech-companies-are-pitching-in-during-the-covid-19-outbreak/
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www.theatlantic.com www.theatlantic.com
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Koren, M. (2020, April 2). The Pandemic Is Turning the Natural World Upside Down. The Atlantic. https://www.theatlantic.com/science/archive/2020/04/coronavirus-pandemic-earth-pollution-noise/609316/
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osf.io osf.io
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Nelson, N. C., Ichikawa, K., Chung, J., & Malik, M. (2020). Mapping the discursive dimensions of the reproducibility crisis: A mixed methods analysis [Preprint]. MetaArXiv. https://doi.org/10.31222/osf.io/sbv3q
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psyarxiv.com psyarxiv.com
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Ballard, Timothy, Ashley Luckman, and Emmanouil Konstantinidis. ‘How Meaningful Are Parameter Estimates from Models of Inter-Temporal Choice?’, 21 August 2020. https://doi.org/10.31234/osf.io/mvk67.
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Sun, K., Wang, W., Gao, L., Wang, Y., Luo, K., Ren, L., Zhan, Z., Chen, X., Zhao, S., Huang, Y., Sun, Q., Liu, Z., Litvinova, M., Vespignani, A., Ajelli, M., Viboud, C., & Yu, H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. MedRxiv, 2020.08.09.20171132. https://doi.org/10.1101/2020.08.09.20171132
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www.jahonline.org www.jahonline.org
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Gaiha, S. M., Cheng, J., & Halpern-Felsher, B. (2020). Association Between Youth Smoking, Electronic Cigarette Use, and Coronavirus Disease 2019. Journal of Adolescent Health, 0(0). https://doi.org/10.1016/j.jadohealth.2020.07.002
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www.thelancet.com www.thelancet.com
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Mohammadi, A., Esmaeilzadeh, E., Li, Y., Bosch, R. J., & Li, J. Z. (2020). SARS-CoV-2 detection in different respiratory sites: A systematic review and meta-analysis. EBioMedicine, 0(0). https://doi.org/10.1016/j.ebiom.2020.102903
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www.medrxiv.org www.medrxiv.org
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Cevik, M., Tate, M., Lloyd, O., Maraolo, A. E., Schafers, J., & Ho, A. (2020). SARS-CoV-2, SARS-CoV-1 and MERS-CoV viral load dynamics, duration of viral shedding and infectiousness: A living systematic review and meta-analysis. MedRxiv, 2020.07.25.20162107. https://doi.org/10.1101/2020.07.25.20162107
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papers.ssrn.com papers.ssrn.com
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Sajadi, M. M., Habibzadeh, P., Vintzileos, A., Shokouhi, S., Miralles-Wilhelm, F., & Amoroso, A. (2020). Temperature, Humidity and Latitude Analysis to Predict Potential Spread and Seasonality for COVID-19 (SSRN Scholarly Paper ID 3550308). Social Science Research Network. https://doi.org/10.2139/ssrn.3550308
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Bangaru, S., Ozorowski, G., Turner, H. L., Antanasijevic, A., Huang, D., Wang, X., Torres, J. L., Diedrich, J. K., Tian, J.-H., Portnoff, A. D., Patel, N., Massare, M. J., Yates, J. R., Nemazee, D., Paulson, J. C., Glenn, G., Smith, G., & Ward, A. B. (2020). Structural analysis of full-length SARS-CoV-2 spike protein from an advanced vaccine candidate. BioRxiv, 2020.08.06.234674. https://doi.org/10.1101/2020.08.06.234674
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www.nature.com www.nature.com
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Sherrard-Smith, E., Hogan, A. B., Hamlet, A., Watson, O. J., Whittaker, C., Winskill, P., Ali, F., Mohammad, A. B., Uhomoibhi, P., Maikore, I., Ogbulafor, N., Nikau, J., Kont, M. D., Challenger, J. D., Verity, R., Lambert, B., Cairns, M., Rao, B., Baguelin, M., … Churcher, T. S. (2020). The potential public health consequences of COVID-19 on malaria in Africa. Nature Medicine, 1–6. https://doi.org/10.1038/s41591-020-1025-y
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atlas.ti,
Tags
Annotators
URL
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www.tandfonline.com www.tandfonline.com
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Arqoub, O. A., Elega, A. A., Özad, B. E., Dwikat, H., & Oloyede, F. A. (2020). Mapping the Scholarship of Fake News Research: A Systematic Review. Journalism Practice, 0(0), 1–31. https://doi.org/10.1080/17512786.2020.1805791
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twitter.com twitter.com
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Whitney R. Robinson on Twitter: “1/ An #EpiTwitter 🧵 about theory... https://t.co/rSjfkHG21r” / Twitter. (n.d.). Twitter. Retrieved August 18, 2020, from https://twitter.com/WhitneyEpi/status/1295522551892971520
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- data collection
- research
- misinformation
- tracker
- healthcare
- international
- medicine
- behavior
- social norm
- uncertainty
- sheets
- publication
- isolation
- social media
- community
- spreadsheet
- COVID-19
- infection
- preprint
- lang:en
- mental health
- social science
- social distancing
- conspiracy theory
- policy
- government
- unofficial
- is:other
- analysis
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Rice, W. L., Mateer, T., Taff, B. D., Lawhon, B., Reigner, N., & Newman, P. (2020). The COVID-19 pandemic continues to change the way people recreate outdoors: A second preliminary report on a national survey of outdoor enthusiasts amid the COVID-19 pandemic. https://doi.org/10.31235/osf.io/dghba
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Peeling, Rosanna W., Catherine J. Wedderburn, Patricia J. Garcia, Debrah Boeras, Noah Fongwen, John Nkengasong, Amadou Sall, Amilcar Tanuri, and David L. Heymann. ‘Serology Testing in the COVID-19 Pandemic Response’. The Lancet Infectious Diseases 0, no. 0 (17 July 2020). https://doi.org/10.1016/S1473-3099(20)30517-X.
Tags
- rapid serology tests
- international solidarity
- serology testing
- viral infectivity
- surveillance
- is:report
- symptomatic patients
- community
- immune response
- COVID-19
- control programmes
- global cooperation
- lang:en
- rapid immunodiagnostic tests
- situational analysis
- molecular diagnostics
- commercially available
- public health
- serology
- host response
Annotators
URL
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Tags
- COVID-19
- research
- lang:en
- clarity
- potency
- potential
- data analysis
- case increase
- concern
- science
- transmission
- epidemiology
- lethality
- is:news
- USA
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Brooks, H. Z., Kanjanasaratool, U., Kureh, Y. H., & Porter, M. A. (2020). Disease Detectives: Using Mathematics to Forecast the Spread of Infectious Diseases [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/mvn9z
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Velásquez, N., Leahy, R., Restrepo, N. J., Lupu, Y., Sear, R., Gabriel, N., Jha, O., Goldberg, B., & Johnson, N. F. (2020). Hate multiverse spreads malicious COVID-19 content online beyond individual platform control. ArXiv:2004.00673 [Nlin, Physics:Physics]. http://arxiv.org/abs/2004.00673
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Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., Lotfi, T., Loeb, M., Hajizadeh, A., Bak, A., Izcovich, A., Cuello-Garcia, C. A., Chen, C., Harris, D. J., Borowiack, E., … Schünemann, H. J. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31142-9
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Ridley, M. (n.d.). Could the key to Covid be found in the Russian pandemic? Retrieved June 11, 2020, from http://www.rationaloptimist.com/blog/covid-and-the-russian-pandemic/
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Chong, D., & Druckman, J. N. (2007). Framing Theory. Annual Review of Political Science, 10(1), 103–126. https://doi.org/10.1146/annurev.polisci.10.072805.103054
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Meylan, P. (2020, March 24). The Most Credible Journalists on COVID-19. The Factual. https://blog.thefactual.com/credible-journalists-covid-19
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statmodeling.stat.columbia.edu statmodeling.stat.columbia.edu
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Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020). Echo Chambers on Social Media: A comparative analysis. ArXiv:2004.09603 [Physics]. http://arxiv.org/abs/2004.09603
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www.sciencemag.org www.sciencemag.org
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Servick, K., EnserinkJun. 2, M., 2020, & Pm, 7:55. (2020, June 2). A mysterious company’s coronavirus papers in top medical journals may be unraveling. Science | AAAS. https://www.sciencemag.org/news/2020/06/mysterious-company-s-coronavirus-papers-top-medical-journals-may-be-unraveling
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arxiv.org arxiv.org
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surgisphere.com surgisphere.com
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Desai, S. (2020, May 29). Response to Widespread Reaction to Recent Lancet Article on Hydroxychloroquine. Surgisphere Corporation. https://surgisphere.com/2020/05/29/response-to-widespread-reaction-to-recent-lancet-article-on-hydroxychloroquine/
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science.sciencemag.org science.sciencemag.org
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Servick, K., & Enserink, M. (2020). The pandemic’s first major research scandal erupts. Science, 368(6495), 1041–1042. https://doi.org/10.1126/science.368.6495.1041
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www.statnews.com www.statnews.com
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says, J. C. (2020, June 4). Lancet, NEJM retract Covid-19 studies that sparked backlash. STAT. https://www.statnews.com/2020/06/04/lancet-retracts-major-covid-19-paper-that-raised-safety-concerns-about-malaria-drugs/
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psyarxiv.com psyarxiv.com
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Han, H., & Dawson, K. J. (2020). JASP (Software) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/67dcb
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www.thelancet.com www.thelancet.com
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Colbourn, T. (2020). Unlocking UK COVID-19 policy. The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30135-3
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textnets.readthedocs.io textnets.readthedocs.io
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Bail, C. A. (2016). Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media. Proceedings of the National Academy of Sciences, 113(42), 11823–11828. https://doi.org/10.1073/pnas.1607151113
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bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
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Boulesteix, A., Strobl, C. Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. BMC Med Res Methodol 9, 85 (2009). https://doi.org/10.1186/1471-2288-9-85
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journals.sagepub.com journals.sagepub.com
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Rosenbusch, H., Hilbert, L. P., Evans, A. M., & Zeelenberg, M. (2020). StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms. Advances in Methods and Practices in Psychological Science, 2515245920917950. https://doi.org/10.1177/2515245920917950
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www.thelancet.com www.thelancet.com
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Chu, D., Akl, E., El-Harakeh, A., Bognanni, A., Lotf, T., Loeb, M., ... & Chen, C. (2020). Physical Distancing, Face Masks, and Eye Protection to Prevent Person-Person COVID-19 Transmission: A Systematic Review and Meta-Analysis.
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Bell, K., & Green, J. (2020). Premature evaluation? Some cautionary thoughts on global pandemics and scholarly publishing. Critical Public Health, 0(0), 1–5. https://doi.org/10.1080/09581596.2020.1769406
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- May 2020
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twitter.com twitter.com
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🔥Kareem Carr🔥 on Twitter: “I want to talk about bugs in statistical analyses. I think many data analysts worry unnecessarily about this. I do think it’s important to put a good faith effort into avoiding bugs, but I know data analysts that live in terror of hearing there’s a bug in published work. 1/6” / Twitter. (n.d.). Twitter. Retrieved May 30, 2020, from https://twitter.com/kareem_carr/status/1266029701392412673
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www.thelancet.com www.thelancet.com
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Verity, R., Okell, L., Dorigatti, I., Winskill, P., Whittaker, C., Walker, P., Donnelly, C., Ferguson, N., & Ghani, A. (2020). COVID-19 and the difficulty of inferring epidemiological parameters from clinical data – Authors’ reply. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30443-6
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arxiv.org arxiv.org
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O’Keeffe, K. P., Griffith, V., Xu, Y., Santi, P., & Ratti, C. (2020). The darkweb: A social network anomaly. ArXiv:2005.14023 [Nlin, Physics:Physics]. http://arxiv.org/abs/2005.14023
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psyarxiv.com psyarxiv.com
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Hanel, P. H. P. (2020). Conducting High Impact Research With Limited Financial Resources (While Working From Home) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/s3fcu
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psyarxiv.com psyarxiv.com
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Sutin, A., Luchetti, M., Aschwanden, D., Lee, J., Sesker, A. A., Strickhouser, J., … Terracciano, A. (2020, May 6). Change in Five-Factor Model Personality Traits During the Acute Phase of the Coronavirus Pandemic. Retrieved from psyarxiv.com/ja7b5
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arxiv.org arxiv.org
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Aslak, U., & Alessandretti, L. (2020). Infostop: Scalable stop-location detection in multi-user mobility data. ArXiv:2003.14370 [Physics]. http://arxiv.org/abs/2003.14370
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arxiv.org arxiv.org
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Mancastroppa, M., Burioni, R., Colizza, V., & Vezzani, A. (2020). Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks. ArXiv:2004.07902 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2004.07902
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Lanovaz, M., & Turgeon, S. (2020). Tutorial: Applying Machine Learning in Behavioral Research [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/9w6a3
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psyarxiv.com psyarxiv.com
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Farias, J. E. M., & Pilati, R. (2020). Violating social distancing amid COVID-19 pandemic: Psychological factors to improve compliance [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/apg9e
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Lobato, E. J. C., Powell, M., Padilla, L., & Holbrook, C. (2020). Factors Predicting Willingness to Share COVID-19 Misinformation. https://doi.org/10.31234/osf.io/r4p5z
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nexus.od.nih.gov nexus.od.nih.gov
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Santangelo, G. (2020, April 15). New NIH Resource to Analyze COVID-19 Literature: The COVID-19 Portfolio Tool. NIH Extramural Nexus. https://nexus.od.nih.gov/all/2020/04/15/new-nih-resource-to-analyze-covid-19-literature-the-covid-19-portfolio-tool/
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www.covidcrisislab.unibocconi.eu www.covidcrisislab.unibocconi.euAbout us1
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www.preprints.org www.preprints.org
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Samuel, J.; Ali, G.G.M.N.; Rahman, M.M.; Esawi, E.; Samuel, Y. COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Preprints 2020, 2020050015 (doi: 10.20944/preprints202005.0015.v1)
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psyarxiv.com psyarxiv.com
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Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c
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bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
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Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 143. https://doi.org/10.1186/s12874-018-0611-x
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psyarxiv.com psyarxiv.com
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Dhami, M. K., & Mandel, D. R. (2020). UK and US policies for communicating probability in intelligence analysis: A review [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/kuyhb
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www.theguardian.com www.theguardian.com
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Davey, M. (2020, May 28). Questions raised over hydroxychloroquine study which caused WHO to halt trials for Covid-19. The Guardian. https://www.theguardian.com/science/2020/may/28/questions-raised-over-hydroxychloroquine-study-which-caused-who-to-halt-trials-for-covid-19
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