- Last 7 days
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twitter.com twitter.com
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Darren Dahly on Twitter. (n.d.). Twitter. Retrieved 1 May 2021, from https://twitter.com/statsepi/status/1385127211699691520
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opportunityinsights.org opportunityinsights.org
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The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data. (2020, May 7). Opportunity Insights. https://opportunityinsights.org/paper/tracker/
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘the SciBeh initiative is about bringing knowledge to policy makers and the general public, but I have to say this advert I just came across worries me: Where are the preceding data integrity and data analysis classes? Https://t.co/5LwkC1SVyF’ / Twitter. (n.d.). Retrieved 18 February 2021, from https://twitter.com/SciBeh/status/1362344945697308674
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- Apr 2021
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twitter.com twitter.com
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Benjy Renton on Twitter: “For those who are wondering: There is a slight association (r = 0.34) between the percentage a county voted for Trump in 2020 and estimated hesitancy levels. As @JReinerMD mentioned, GOP state, county and local levels need to do their part to promote vaccination. Https://t.co/ZY2lUqHgLd” / Twitter. (n.d.). Retrieved April 28, 2021, from https://twitter.com/bhrenton/status/1382330404586274817
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twitter.com twitter.com
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(20) Carolyn Barber, MD on Twitter: ‘@VincentRK Thank you. Very helpful. Retweeting this which lines up with your UK data. Https://t.co/ECNaGuqiaB’ / Twitter. (n.d.). Retrieved 24 April 2021, from https://twitter.com/cbarbermd/status/1381407627884695556
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arxiv.org arxiv.org
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Yang, K.-C., Pierri, F., Hui, P.-M., Axelrod, D., Torres-Lugo, C., Bryden, J., & Menczer, F. (2020). The COVID-19 Infodemic: Twitter versus Facebook. ArXiv:2012.09353 [Cs]. http://arxiv.org/abs/2012.09353
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Local file Local file
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Taquet, M. (2021, April 15). COVID-19 and cerebral venous thrombosis: a retrospective cohort study of 513,284 confirmed COVID-19 cases. https://doi.org/10.17605/OSF.IO/H2MT7
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www.imperial.ac.uk www.imperial.ac.uk
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More transmissible and evasive SARS-CoV-2 variant growing rapidly in Brazil | Imperial News | Imperial College London. (n.d.). Imperial News. Retrieved 18 April 2021, from https://www.imperial.ac.uk/news/216053/more-transmissible-evasive-sarscov2-variant-growing/
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twitter.com twitter.com
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Jeremy Faust MD MS (ER physician) on Twitter: “Let’s talk about the background risk of CVST (cerebral venous sinus thrombosis) versus in those who got J&J vaccine. We are going to focus in on women ages 20-50. We are going to compare the same time period and the same disease (CVST). DEEP DIVE🧵 KEY NUMBERS!” / Twitter. (n.d.). Retrieved April 15, 2021, from https://twitter.com/jeremyfaust/status/1382536833863651330
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med.stanford.edu med.stanford.edu
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The insertion of an algorithm’s predictions into the patient-physician relationship also introduces a third party, turning the relationship into one between the patient and the health care system. It also means significant changes in terms of a patient’s expectation of confidentiality. “Once machine-learning-based decision support is integrated into clinical care, withholding information from electronic records will become increasingly difficult, since patients whose data aren’t recorded can’t benefit from machine-learning analyses,” the authors wrote.
There is some work being done on federated learning, where the algorithm works on decentralised data that stays in place with the patient and the ML model is brought to the patient so that their data remains private.
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- Mar 2021
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www.medrxiv.org www.medrxiv.org
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Ioannidis, John P. A. (2020) ‘The Infection Fatality Rate of COVID-19 Inferred from Seroprevalence Data’. MedRxiv. https://doi.org/10.1101/2020.05.13.20101253.
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twitter.com twitter.com
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Carl T. Bergstrom on Twitter. (n.d.). Twitter. Retrieved 19 February 2021, from https://twitter.com/CT_Bergstrom/status/1357799981977985025
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twitter.com twitter.com
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Ashish K. Jha, MD, MPH. (2020, December 12). Michigan vs. Ohio State Football today postponed due to COVID But a comparison of MI vs OH on COVID is useful Why? While vaccines are coming, we have 6-8 hard weeks ahead And the big question is—Can we do anything to save lives? Lets look at MI, OH for insights Thread [Tweet]. @ashishkjha. https://twitter.com/ashishkjha/status/1337786831065264128
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arxiv.org arxiv.org
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Gupta, Prateek, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, et al. ‘COVI-AgentSim: An Agent-Based Model for Evaluating Methods of Digital Contact Tracing’. ArXiv:2010.16004 [Cs], 29 October 2020. http://arxiv.org/abs/2010.16004.
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twitter.com twitter.com
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Cailin O’Connor. (2020, November 10). New paper!!! @psmaldino look at what causes the persistence of poor methods in science, even when better methods are available. And we argue that interdisciplinary contact can lead better methods to spread. 1 https://t.co/C5beJA5gMi [Tweet]. @cailinmeister. https://twitter.com/cailinmeister/status/1326221893372833793
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twitter.com twitter.com
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ReconfigBehSci. (2020, November 23). RT @lakens: Ongoing, an incredibly awesome talk on computational reproducibility by @AdinaKrik. Slides: Https://t.co/QslHW3gEtm. If you are… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1331265422109396995
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psyarxiv.com psyarxiv.com
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Hyland, P., Vallières, F., Shevlin, M., Bentall, R. P., McKay, R., Hartman, T. K., McBride, O., & Murphy, J. (2021). Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/ry6n4
Tags
- social behavior
- is:preprint
- lang:en
- COVID-19
- longitudinal
- officials
- vaccine
- public health
- cross-sectional data
- attitudes
- pandemic
- ireland
- statistics
- UK
- China
- statistical analysis
- communication strategies
- vaccine hesitance
- vaccine resistance
- Russia
- vaccination
- second wave
- resistance
Annotators
URL
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @PsyArXivBot: Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic https://t.co/AgKErDr7Yj’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1366707710151053312
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- Feb 2021
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thestatsgeek.com thestatsgeek.com
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Confounding vs. Effect modification – The Stats Geek. (n.d.). Retrieved February 27, 2021, from https://thestatsgeek.com/2021/01/13/confounding-vs-effect-modification/
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www.nature.com www.nature.com
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Chwalisz, C. (2021). The pandemic has pushed citizen panels online. Nature, 589(7841), 171–171. https://doi.org/10.1038/d41586-021-00046-7
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twitter.com twitter.com
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ReconfigBehSci. (2020, December 6). RT @statsepi: Lol ok. Https://t.co/eCPpU3Linv [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1335894181248643073
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psyarxiv.com psyarxiv.com
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Lakens, D. (2021). Sample Size Justification. PsyArXiv. https://doi.org/10.31234/osf.io/9d3yf
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qz.com qz.com
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A fairly comprehensive list of problems and limitations that are often encountered with data as well as suggestions about who should be responsible for fixing them (from a journalistic perspective).
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Benford’s Law is a theory which states that small digits (1, 2, 3) appear at the beginning of numbers much more frequently than large digits (7, 8, 9). In theory Benford’s Law can be used to detect anomalies in accounting practices or election results, though in practice it can easily be misapplied. If you suspect a dataset has been created or modified to deceive, Benford’s Law is an excellent first test, but you should always verify your results with an expert before concluding your data has been manipulated.
This is a relatively good explanation of Benford's law.
I've come across the theory in advanced math, but I'm forgetting where I saw the proof. p-adic analysis perhaps? Look this up.
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cytoscape.org cytoscape.org
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Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of Apps are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.
Tags
Annotators
URL
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psyarxiv.com psyarxiv.com
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Spadaro, G., Tiddi, I., Columbus, S., Jin, S., Teije, A. t., & Balliet, D. (2020, October 28). The Cooperation Databank. https://doi.org/10.31234/osf.io/rveh3
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- Jan 2021
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www.forbes.com www.forbes.com
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Data analysis, and the parts of statistics which adhere to it, must…take on the characteristics of science rather than those of mathematics…
Is data analysis included in data science? If not, what is the relationship between them?
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Corral. A., (2020). Scientific comment on "Tail risk of contagious diseases" Cornell University Physics and Society. Retrieved from: https://arxiv.org/abs/2007.06876
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- Dec 2020
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academic.oup.com academic.oup.com
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flow cytometry data were analyzed in R using the flowCore Bioconductor package (
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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.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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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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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.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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- 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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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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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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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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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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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.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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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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psyarxiv.com psyarxiv.com
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Speelman, C., & McGann, M. (2020). Statements about the Pervasiveness of Behaviour Require Data about the Pervasiveness of Behaviour [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/bxzm4
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Young, J.-G., Cantwell, G. T., & Newman, M. E. J. (2020). Robust Bayesian inference of network structure from unreliable data. ArXiv:2008.03334 [Physics, Stat]. http://arxiv.org/abs/2008.03334
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goodjudgment.io goodjudgment.io
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COVID Recovery Dashboard. Retrieved from https://goodjudgment.io/covid-recovery/#1363 on 12/08/2020
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www.nber.org www.nber.org
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Harris, J. E. (2020). Reopening Under COVID-19: What to Watch For (Working Paper No. 27166; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27166
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covid-19.iza.org covid-19.iza.org
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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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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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- Jul 2020
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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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www.nber.org www.nber.org
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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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www.nber.org www.nber.org
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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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www.nber.org www.nber.org
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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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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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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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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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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- sheets
- government
- social distancing
- lang:en
- COVID-19
- behavior
- preprint
- tracker
- medicine
- publication
- is:other
- analysis
- policy
- international
- data collection
- social media
- mental health
- unofficial
- spreadsheet
- isolation
- social norm
- research
- infection
- uncertainty
- community
- social science
- misinformation
- healthcare
- conspiracy theory
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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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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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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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
- potency
- potential
- COVID-19
- lang:en
- is:news
- research
- lethality
- epidemiology
- concern
- case increase
- USA
- science
- clarity
- data analysis
- transmission
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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www.youtube.com www.youtube.com
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Q&A: Modelling COVID-19. (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=HUKC8Wq2a0k
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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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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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jasp-stats.org jasp-stats.org
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Introducing JASP 0.13. (2020, July 2). JASP - Free and User-Friendly Statistical Software. https://jasp-stats.org/?p=6483
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gss.civilservice.gov.uk gss.civilservice.gov.uk
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An analyst’s job is never done – GSS. (n.d.). Retrieved July 3, 2020, from https://gss.civilservice.gov.uk/blog/an-analysts-job-is-never-done/
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psyarxiv.com psyarxiv.com
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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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- Jun 2020
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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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www.unforgettable.me www.unforgettable.me
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Register here: (n.d.). Google Docs. Retrieved May 5, 2020, from https://docs.google.com/forms/d/e/1FAIpQLSdqXWlf0sbRR9wSH_42shm4vU4tHcCe0bQZuC-6ngHaI4I32w/viewform??embedded=true&usp=embed_facebook
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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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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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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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covid19.gleamproject.org covid19.gleamproject.org
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Gleam Project | COVID-19 Mobility USA
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www.dkv.global www.dkv.global
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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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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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rviews.rstudio.com rviews.rstudio.com
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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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www.sciencedirect.com www.sciencedirect.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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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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surgisphere.com