- Oct 2020
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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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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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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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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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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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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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Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13516/
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covid-19.iza.org covid-19.iza.org
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The New Hazardous Jobs and Worker Reallocation. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13532/
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journals.plos.org journals.plos.org
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Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035
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U.S. Economy Shrinks at Record 32.9% Pace in Second Quarter. (2020, July 30). Bloomberg.Com. https://www.bloomberg.com/news/articles/2020-07-30/u-s-economy-shrinks-at-record-32-9-pace-in-second-quarter
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www.medrxiv.org www.medrxiv.org
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Unterman, A., Sumida, T. S., Nouri, N., Yan, X., Zhao, A. Y., Gasque, V., Schupp, J. C., Asashima, H., Liu, Y., Cosme, C., Deng, W., Chen, M., Raredon, M. S. B., Hoehn, K., Wang, G., Wang, Z., Deiuliis, G., Ravindra, N. G., Li, N., … Cruz, C. S. D. (2020). Single-Cell Omics Reveals Dyssynchrony of the Innate and Adaptive Immune System in Progressive COVID-19. MedRxiv, 2020.07.16.20153437. https://doi.org/10.1101/2020.07.16.20153437
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved 31 July 2020, from https://covid-19.iza.org/publications/dp13388/
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Friedson, A. I., McNichols, D., Sabia, J. J., & Dave, D. (2020). Did California’s Shelter-in-Place Order Work? Early Coronavirus-Related Public Health Effects (Working Paper No. 26992; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26992
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Cotti, C. D., Engelhardt, B., Foster, J., Nesson, E. T., & Niekamp, P. S. (2020). The Relationship between In-Person Voting and COVID-19: Evidence from the Wisconsin Primary (Working Paper No. 27187; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27187
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Dave, D. M., Friedson, A. I., Matsuzawa, K., & Sabia, J. J. (2020). When Do Shelter-in-Place Orders Fight COVID-19 Best? Policy Heterogeneity Across States and Adoption Time (Working Paper No. 27091; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27091
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Alfaro, L., Becerra, O., & Eslava, M. (2020). EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms (Working Paper No. 27360; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27360
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psyarxiv.com psyarxiv.com
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Bhattacharya, C., Chowdhury, D., Ahmed, N., Ozgur, S., Bhattacharya, B., Mridha, S. K., & Bhattacharyya, M. (2020). The Nature, Cause and Consequence of COVID-19 Panic among Social Media Users in India. https://doi.org/10.31234/osf.io/dgr45
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Pastor, L., & Vorsatz, M. B. (2020). Mutual Fund Performance and Flows During the COVID-19 Crisis (Working Paper No. 27551; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27551
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psyarxiv.com psyarxiv.com
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Litman. L,. Hartman. R., Jaffe. S., Robinson. J. (2020) County-level recruitment in online samples: Applications to COVID-19 and beyond. PsyArXiv Preprints. Retrieved from: https://psyarxiv.com/g3xw7/
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www.youtube.com www.youtube.com
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MCLS Virtual Brown Bag June 12, 2020: Bayesian Modelling. (2020, June 15). https://www.youtube.com/watch?v=7LLZPNLhn5o
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Starominski-Uehara, M. (2020). Brief Communication Analysis of Brazilian Presidency during COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jr7eq
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osf.io osf.io
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Motta, M., Stecula, D., & Farhart, C. E. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a8r3p
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Pârvulescu, R. A. (2020). Engineering Your Judiciary, or How the COVID Crisis Won’t Go To Waste. https://doi.org/10.31235/osf.io/yrtfb
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osf.io osf.io
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Kubinec, R., & Carvalho, L. (2020). A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jp4wk
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osf.io osf.io
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Krumpal, I. (2020). Soziologie in Zeiten der Pandemie [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yqdsu
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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- data collection
- misinformation
- behavior
- government
- publication
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- spreadsheet
- infection
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- social distancing
- medicine
- COVID-19
- sheets
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Annotators
URL
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www.sg.uu.nl www.sg.uu.nl
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Dr. Maarten van Smeden (2020, May 11). Understanding the statistics of the coronavirus. Universiteit Utrecht. https://www.sg.uu.nl/video/2020/06/understanding-statistics-coronavirus
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www.youtube.com www.youtube.com
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Data Intersections 2020 | Heather Krause. (2020, February 21). How not to use data like a racist. https://www.youtube.com/watch?v=EGO7yevPHDk
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osf.io osf.io
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Mikolai, J., Keenan, K., & Kulu, H. (2020). Household level health and socio-economic vulnerabilities and the COVID-19 crisis: An analysis from the UK [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/4wtz8
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Basu, A., Roy, A., Hazra, A. K., & Pramanick, K. (2020). Analysis of youths’ perspective in India on and during the pandemic of Covid-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/4qhgd
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osf.io osf.io
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Payne, J. L., & Morgan, A. (2020). COVID-19 and Violent Crime: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/g4kh7
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osf.io osf.io
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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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osf.io osf.io
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Payne, J. L., & Morgan, A. (2020). Property Crime during the COVID-19 Pandemic: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/de9nc
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Sehgal, D. (2020). Analysis of Vaccines to tackle COVID-19 with Patent Review [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/q96wj
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bahri, muhamad. (2020). The nexus impacts of the Covid-19: A qualitative perspective [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yj8c9
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psyarxiv.com psyarxiv.com
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Bernard, P., St-Amour, S., Lachance, Kingsbury, C., & Lapointe. (2020). Dynamic patterns of depressive symptoms and sleep during the first month of strict lockdown in two women with major depressive disorder [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5enrq
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Gleeson, J. P., Onaga, T., Fennell, P., Cotter, J., Burke, R., & O’Sullivan, D. J. P. (2020). Branching process descriptions of information cascades on Twitter. ArXiv:2007.08916 [Physics]. http://arxiv.org/abs/2007.08916
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psyarxiv.com psyarxiv.com
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Ahn, M. H., Shin, Y. W., Kim, J. H., Kim, H. J., Lee, K.-U., & Chung, S. (2020). High Work-related Stress and Anxiety Response to COVID-19 among Healthcare Workers in South Korea: SAVE study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/9nxth
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www.thelancet.com www.thelancet.com
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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
- serology
- public health
- control programmes
- viral infectivity
- international solidarity
- immune response
- commercially available
- surveillance
- molecular diagnostics
- COVID-19
- host response
- situational analysis
- is:report
- global cooperation
- rapid immunodiagnostic tests
- community
- serology testing
- lang:en
- rapid serology tests
- symptomatic patients
Annotators
URL
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www.nationalgeographic.com www.nationalgeographic.com
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How scientists know COVID-19 is way deadlier than the flu. (2020, July 2). Science. https://www.nationalgeographic.com/science/2020/07/coronavirus-deadlier-than-many-believed-infection-fatality-rate-cvd/
Tags
- USA
- concern
- potential
- research
- lethality
- clarity
- potency
- is:news
- lang:en
- science
- case increase
- COVID-19
- data analysis
- transmission
- epidemiology
Annotators
URL
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twitter.com twitter.com
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Ed Conway on Twitter: “Breaking: UK government was routinely overstating the total number of people who’d been tested for #COVID19 by as many as 200,000 at the height of the coronavirus pandemic, according to new Sky News analysis.” / Twitter. (n.d.). Twitter. Retrieved July 17, 2020, from https://twitter.com/EdConwaySky/status/1281652670000844800
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Garmendia, A., & Alfonso, S. L. (2020). Popular Reactions To External Threats in Federations. https://doi.org/10.31235/osf.io/qyjtm
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Richards, A. D. (2020). Ethical Guidelines for Deliberately Infecting Volunteers with COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jb7gq
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osf.io osf.io
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Rosati, G., Domenech, L., Chazarreta, A., & Maguire, T. (2020). Capturing and analyzing social representations. A first application of Natural Language Processing techniques to reader’s comments in COVID-19 news. Argentina, 2020 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/3pcdu
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Pensando a Pandemia: Tópicos em Filosofia da Mente e Psicologia. (2020, July 2). https://www.youtube.com/watch?v=CiVz0q5oRK8
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osf.io osf.io
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Weed, M. (2020). Models and methods to analyse the interaction of evidence and policy in the first 100 days of the UK government’s response to COVID-19 (v1.1). https://doi.org/10.31235/osf.io/f73u4
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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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osf.io osf.io
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Leiserowitz, A., Maibach, E., Rosenthal, S. A., Kotcher, J., Bergquist, P., Ballew, M. T., Goldberg, M. H., Gustafson, A., & Wang, X. (2020). Climate change in the American Mind: April 2020 [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8439q
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Lighter, J., Phillips, M., Hochman, S., Sterling, S., Johnson, D., Francois, F., & Stachel, A. (n.d.). Obesity in Patients Younger Than 60 Years Is a Risk Factor for COVID-19 Hospital Admission. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciaa415
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Lyttelton, T., Zang, E., & Musick, K. (2020). Gender Differences in Telecommuting and Implications for Inequality at Home and Work. https://doi.org/10.31235/osf.io/tdf8c
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Meyer, B., Torriani, G., Yerly, S., Mazza, L., Calame, A., Arm-Vernez, I., Zimmer, G., Agoritsas, T., Stirnemann, J., Spechbach, H., Guessous, I., Stringhini, S., Pugin, J., Roux-Lombard, P., Fontao, L., Siegrist, C.-A., Eckerle, I., Vuilleumier, N., & Kaiser, L. (2020). Validation of a commercially available SARS-CoV-2 serological immunoassay. Clinical Microbiology and Infection, 0(0). https://doi.org/10.1016/j.cmi.2020.06.024
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Su, Q., Hu, J., Lin, H., Zhang, Z., Zhu, E. C., Zhang, C., Wang, D., Gao, Z., & Cao, B. (2020). Prevalence and risks of severe events for cancer patients with COVID-19 infection: A systematic review and meta-analysis. MedRxiv, 2020.06.23.20136200. https://doi.org/10.1101/2020.06.23.20136200
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Olsson-Collentine, A., van Assen, M. A. L. M., & Wicherts, J. M. (2020). Postprint—Heterogeneity in direct replications in psychology and its association with effect size [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m23v4
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Du, H., Jiang, G., & Ke, Z. (2020). A Bootstrap Based Between-Study Heterogeneity Test in Meta-Analysis [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/de4g9
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Rahman, M., Ali, G. G. M. N., Li, X. J., Paul, K. C., & Chong, P. H. J. (2020). Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fz4ry
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Edgcumbe, D. (2020). PrePrint Version (Edgcumbe, 2020): The developmental trajectory of open-mindedness: from 18 to 87-years of age. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fnrmv
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psyarxiv.com psyarxiv.com
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Parsons, Sam. ‘Reliability Multiverse’, 26 June 2020. https://doi.org/10.31234/osf.io/y6tcz.
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arxiv.org arxiv.org
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Altmann, E. G. (2020). Spatial interactions in urban scaling laws. ArXiv:2006.14140 [Physics]. http://arxiv.org/abs/2006.14140
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psyarxiv.com psyarxiv.com
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Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt
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Maier, M., Bartoš, F., & Wagenmakers, E.-J. (2020). Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/u4cns
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blogs.lse.ac.uk blogs.lse.ac.uk
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Using LinkedIn for Social Research. (2019, July 9). Impact of Social Sciences. https://blogs.lse.ac.uk/impactofsocialsciences/2019/07/09/using-linkedin-for-social-research/
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psyarxiv.com psyarxiv.com
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Yucel, M., Sjobeck, G., Glass, R., & Rottman, J. (2020). Gossip, Sabotage, and Friendship Network Dataset [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m6tsx
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stanford.app.box.com stanford.app.box.com
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20200611_China_Report.pdf | Con la tecnología de Box. (n.d.). Retrieved June 18, 2020, from https://stanford.app.box.com/v/sio-twitter-prc-june-2020
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Giles, C., & Burn-Murdoch, J. (2020, May 28). UK suffers second-highest death rate from coronavirus | Free to read. https://www.ft.com/content/6b4c784e-c259-4ca4-9a82-648ffde71bf0
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psyarxiv.com psyarxiv.com
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Abdelrahman, M. K. (2020, April 14). Personality Traits, Risk Perception and Social Distancing During COVID-19. https://doi.org/10.31234/osf.io/6g7kh
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covid19.gleamproject.org covid19.gleamproject.org
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Gleam Project | COVID-19 Mobility USA
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psyarxiv.com psyarxiv.com
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Kim, L. E., Dr, & Asbury, K. (2020, June 18). Teachers' initial experiences of COVID-19. https://doi.org/10.31234/osf.io/xn9ey
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psyarxiv.com psyarxiv.com
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Atoui, S., Chevance, G., Romain, A. J., Kingsbury, C., Lachance, J., & Bernard, P. (2020, June 17). Daily associations between sleep and physical activity: A systematic review and meta-analysis. https://doi.org/10.31234/osf.io/ezusb
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COVID-19 Regional Safety Assessment | DKG. (n.d.). DKV. Retrieved June 17, 2020, from https://www.dkv.global/covid-safety-assessment-200-regions
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malinja. (2015, June 18). Human Capital and Digital Skills [Text]. Shaping Europe’s Digital Future - European Commission. https://ec.europa.eu/digital-single-market/en/human-capital
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Zelner, J., Riou, J., Etzioni, R., & Gelman, A. (2020). Accounting for Uncertainty During a Pandemic. ArXiv:2006.08745 [Physics, q-Bio, Stat]. http://arxiv.org/abs/2006.08745
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Ofosu, G. K., & Posner, D. N. (2020). Do Pre-analysis Plans Hamper Publication? AEA Papers and Proceedings, 110, 70–74. https://doi.org/10.1257/pandp.20201079
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Crystal, J. (2020, May 18). Mobilizing behavioral scientists to respond to COVID-19. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/mobilizing-behavioral-scientists-to-respond-to-covid-19/
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Views, R. (2020, May 20). An R View into Epidemiology. /2020/05/20/some-r-resources-for-epidemiology/
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arxiv.org arxiv.org
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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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www.thelancet.com www.thelancet.com
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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
Tags
- relevance
- role
- behavioral science
- social science
- is:blog
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- data analysis
- limitation
- lang:en
- COVID-19
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- policy
Annotators
URL
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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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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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- 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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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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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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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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About us. (n.d.). Retrieved May 5, 2020, from /wps/wcm/connect/Site/CovidCrisisLab/Home/About+us
Tags
- economy
- research
- consequence
- financial
- society
- COVID-19
- crisis
- legal
- laboratory
- is:webpage
- lab
- healthcare
- population
- lang:en
- implication
- analysis
- health
- policy
Annotators
URL
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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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www.repository.cam.ac.uk www.repository.cam.ac.uk
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Toxvaerd, F. M. O. (2020). Equilibrium Social Distancing [Working Paper]. Faculty of Economics, University of Cambridge. https://doi.org/10.17863/CAM.52489
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Jo Wood on Twitter: „Yesterday saw by far the highest ever use of London @SantanderCycles and possibly highest volume of cycling ever seen in the capital. / Twitter. (n.d.). Twitter. Retrieved May 27, 2020, from https://twitter.com/jwolondon/status/1265197657385025536
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www.digital-democracy.org www.digital-democracy.org
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If it’s a live pet, you do a little threat modeling: is the cat cute and cuddly, or will it scratch the kid’s face off?
Tags
Annotators
URL
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wintoncentre.maths.cam.ac.uk wintoncentre.maths.cam.ac.uk
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Winton Centre for Risk and Evidence Communication
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www.annualreviews.org www.annualreviews.org
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Correia, Rion Brattig, Ian B. Wood, Johan Bollen, and Luis M. Rocha. “Mining Social Media Data for Biomedical Signals and Health-Related Behavior.” Annual Review of Biomedical Data Science, May 4, 2020. https://doi.org/10.1146/annurev-biodatasci-030320-040844.
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psyarxiv.com psyarxiv.com
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Feys, F., Brokken, S., & De Peuter, S. (2020, May 22). Risk-benefit and cost-utility analysis for COVID-19 lockdown in Belgium: the impact on mental health and wellbeing. https://doi.org/10.31234/osf.io/xczb3
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www.scirp.org www.scirp.org
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Makulilo, A. B. (2016). “A Person Is a Person through Other Persons”—A Critical Analysis of Privacy and Culture in Africa. Beijing Law Review, 7(3), 720–726. https://doi.org/10.4236/blr.2016.73020
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science.sciencemag.org science.sciencemag.org
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Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., Le Strat, Y., Lessler, J., Levy-Bruhl, D., Fontanet, A., Opatowski, L., Boelle, P.-Y., & Cauchemez, S. (2020). Estimating the burden of SARS-CoV-2 in France. Science, eabc3517. https://doi.org/10.1126/science.abc3517
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analytics.google.com analytics.google.com
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Cross-channel conversion paths See the big picture. Understand the value of upper funnel ad clicks in multi-click, cross-channel journeys.
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www.medrxiv.org www.medrxiv.org
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Buitrago-Garcia, D. C., Egli-Gany, D., Counotte, M. J., Hossmann, S., Imeri, H., Salanti, G., & Low, N. (2020). The role of asymptomatic SARS-CoV-2 infections: Rapid living systematic review and meta-analysis [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.25.20079103
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