- Apr 2022
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- Jan 2022
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www.jci.org www.jci.org
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Hotez, P. J. (2021). America’s deadly flirtation with antiscience and the medical freedom movement. The Journal of Clinical Investigation, 131(7). https://doi.org/10.1172/JCI149072
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drury-sussex-the-crowd.blogspot.com drury-sussex-the-crowd.blogspot.com
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Drury, P. J. (2021, December 31). the crowd: Three forms of Covid leadership. The Crowd. https://drury-sussex-the-crowd.blogspot.com/2021/12/three-forms-of-covid-leadership.html
Tags
- lang:en
- coercive leadership
- coercion
- responsibility
- society
- authority
- laissez faire leadership
- UK
- leadership
- public health measures
- safety
- societal level
- COVID-19
- is:blog
- strategy
- identity leadership
- vaccination programme
- collective response
- social distancing
- psychology
- risk
- ventilation
- common sense
- public
- interdependence
- mitigation
- mandate
- engagement
- policy
- punishment
Annotators
URL
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psyarxiv.com psyarxiv.com
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Jones, C. M., Diethei, D., Schöning, J., Shrestha, R., Jahnel, T., & Schüz, B. (2021). Social reference cues can reduce misinformation sharing behaviour on social media. PsyArXiv. https://doi.org/10.31234/osf.io/v6fc9
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- Dec 2021
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Tang, J.-L., & Abbasi, K. (2021). What can the world learn from China’s response to covid-19? BMJ, 375, n2806. https://doi.org/10.1136/bmj.n2806
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- Nov 2021
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www.frontiersin.org www.frontiersin.org
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Al-Hasan, A., Khuntia, J., & Yim, D. (2021). Does Seeing What Others Do Through Social Media Influence Vaccine Uptake and Help in the Herd Immunity Through Vaccination? A Cross-Sectional Analysis. Frontiers in Public Health, 9, 1668. https://doi.org/10.3389/fpubh.2021.715931
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- Oct 2021
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jamanetwork.com jamanetwork.com
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Merchant, R. M., & Lurie, N. (2020). Social Media and Emergency Preparedness in Response to Novel Coronavirus. JAMA, 323(20), 2011–2012. https://doi.org/10.1001/jama.2020.4469
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www.frontiersin.org www.frontiersin.org
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Clift, A. K., von Ende, A., Tan, P. S., Sallis, H. M., Lindson, N., Coupland, C. A. C., Munafò, M. R., Aveyard, P., Hippisley-Cox, J., & Hopewell, J. C. (2021). Smoking and COVID-19 outcomes: An observational and Mendelian randomisation study using the UK Biobank cohort. Thorax, thoraxjnl-2021-217080. https://doi.org/10.1136/thoraxjnl-2021-217080
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- Aug 2021
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www.youtube.com www.youtube.com
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(7) BUSPH COVID Corps—YouTube. (n.d.). Retrieved 4 August 2021, from https://www.youtube.com/channel/UC_VJ9KJ-9aLzZs4CeUahZ8g
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- Jul 2021
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www.frontiersin.org www.frontiersin.org
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Park, Jiwon, Seungmin Lee, Sunhae Sul, and Dongil Chung. “Depression Symptoms Mediate Mismatch Between Perceived Severity of the COVID-19 Pandemic and Preventive Motives.” Frontiers in Psychology 0 (2021). https://doi.org/10.3389/fpsyg.2021.650042.
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www.theatlantic.com www.theatlantic.com
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The CDC Should Be More Like Wikipedia—The Atlantic. (n.d.). Retrieved July 23, 2021, from https://www.theatlantic.com/ideas/archive/2021/07/cdc-should-be-more-like-wikipedia/619469/
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Ortiz, E., & Serrano, M. Á. (2021). Multiscale opinion dynamics on real networks. ArXiv:2107.06656 [Physics]. http://arxiv.org/abs/2107.06656
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- Jun 2021
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www.straitstimes.com www.straitstimes.com
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Living normally, with Covid-19: Task force ministers on how S’pore is drawing road map for new normal, Opinion News & Top Stories—The Straits Times. (n.d.). Retrieved June 29, 2021, from https://www.straitstimes.com/opinion/living-normally-with-covid-19
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252f2edd-1c8b-49f5-9bb2-cb57bb47e4ba.filesusr.com 252f2edd-1c8b-49f5-9bb2-cb57bb47e4ba.filesusr.com
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The Anti-Vaxx Playbook | Center for Countering Digital Hate. (n.d.). Retrieved June 26, 2021, from https://www.counterhate.com/playbook
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psyarxiv.com psyarxiv.com
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Teague, S., Shatte, A. B. R., Fuller-Tyszkiewicz, M., & Hutchinson, D. M. (2021). Social media monitoring of mental health during disasters: A scoping review of methods and applications. PsyArXiv. https://doi.org/10.31234/osf.io/ykz2n
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twitter.com twitter.com
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Doctors for XR on Twitter: “https://t.co/OwN3VQsGqw @richardhorton1 speaking to @DrTedros today on video link at #WHA74 about the similarities of #COVID19 and #climatecrisis and the cost of inaction. This before Tedros addressed Doctors + Nurses protesting at the WHO. #WHO #RedAlertWHO https://t.co/yComw7YNR3” / Twitter. (n.d.). Retrieved June 6, 2021, from https://twitter.com/DoctorsXr/status/1398656730570145796
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- May 2021
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www.nature.com www.nature.com
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Wellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Dai, A., Williams, B., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Bendebury, C., Mandayam, C., Stanton, C., Bavadekar, S., Pluntke, C., Desfontaines, D., … Gabrilovich, E. (2021). Impacts of social distancing policies on mobility and COVID-19 case growth in the US. Nature Communications, 12(1), 3118. https://doi.org/10.1038/s41467-021-23404-5
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- Apr 2021
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www.theguardian.com www.theguardian.com
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Beaumont, P. (2021, April 22). Covid-19: India’s response to second wave is warning to other countries. The Guardian. https://www.theguardian.com/world/2021/apr/22/covid-19-india-response-to-second-wave-is-warning-to-other-countries
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- Mar 2021
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blogs.bmj.com blogs.bmj.com
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BMJ GH Blogs. ‘An Effective National Response to COVID-19: What Not to Learn from Sweden’. BMJ Global Health blog, 1 November 2020. https://blogs.bmj.com/bmjgh/2020/11/01/covid-19-what-not-to-learn-from-sweden/.
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psyarxiv.com psyarxiv.com
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Karlsson, L. C., Soveri, A., Lewandowsky, S., Karlsson, L., Karlsson, H., Nolvi, S., … Antfolk, J. (2021, March 4). The Behavioral Immune System and Vaccination Intentions During the Coronavirus Pandemic. https://doi.org/10.31234/osf.io/r8uaz
Tags
- lang:en
- behavioural immune system
- germ aversion
- individual differences
- evolutionary psychology
- vaccination
- COVID-19
- perceived infectability
- is:preprint
- vulnerable
- intention
- contaminant aversion
- immune response
- social science
- vaccine hesitancy
- behavioral science
- evolution
- disgust
- health psychology
Annotators
URL
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- Feb 2021
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psyarxiv.com psyarxiv.com
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Haslam, S. A., Steffens, N. K., Reicher, S., & Bentley, S. (2020). Identity leadership in a crisis: A 5R framework for learning from responses to COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/bhj49
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www.bmj.com www.bmj.com
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Baum, F., Freeman, T., Musolino, C., Abramovitz, M., Ceukelaire, W. D., Flavel, J., Friel, S., Giugliani, C., Howden-Chapman, P., Huong, N. T., London, L., McKee, M., Popay, J., Serag, H., & Villar, E. (2021). Explaining covid-19 performance: What factors might predict national responses? BMJ, 372, n91. https://doi.org/10.1136/bmj.n91
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- Jan 2021
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psyarxiv.com psyarxiv.com
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Fischer, K., Chaudhuri, A., & Atkinson, Q. (2020, October 5). Responses to the COVID-19 pandemic reflect the dual evolutionary foundations of political ideology. https://doi.org/10.31234/osf.io/qeap8
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www.bloomberg.com www.bloomberg.com
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ow the Coronavirus Recovery Is Changing Cities
Plosz. J., (2020/06/22)., How the Coronavirus Recovery Is Changing Cities. Retrieved from https://www.bloomberg.com/features/2020-city-in-recovery/?utm_medium=social&utm_campaign=socialflow-organic&utm_source=twitter&utm_content=citylab
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- Oct 2020
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www.emerald.com www.emerald.com
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Lau, P. Y. F. (2020). Fighting COVID-19: Social capital and community mobilisation in Hong Kong. International Journal of Sociology and Social Policy, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJSSP-08-2020-0377
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academic.oup.com academic.oup.com
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Yang Chan, E. Y., Shahzada, T. S., Sham, T. S. T., Dubois, C., Huang, Z., Liu, S., Ho, J. Y., Hung, K. K. C., Kwok, K. O., & Shaw, R. (n.d.). Narrative review of non-pharmaceutical behavioural measures for the prevention of COVID-19 (SARS-CoV-2) based on the Health-EDRM framework. British Medical Bulletin. https://doi.org/10.1093/bmb/ldaa030
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www.hope-project.dk www.hope-project.dkApp1
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The HOPE-project (http://hope-project.dk ) tracks public opinion during #covid19, sharing findings with the public & authorities. This graph is the most concerning yet: The # willing to use an approved COVID-vaccine recommended for them
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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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- Sep 2020
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www.theguardian.com www.theguardian.com
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Coronavirus cases are rising again in the UK. Here’s what should happen next | Devi Sridhar. (2020, September 8). The Guardian. http://www.theguardian.com/commentisfree/2020/sep/08/coronavirus-cases-rising-uk-second-wave
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papers.ssrn.com papers.ssrn.com
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Casoria, F., Galeotti, F., & Villeval, M. C. (2020). Perceived Social Norm and Behavior Quickly Adjusted to Legal Changes During the COVID-19 Pandemic (SSRN Scholarly Paper ID 3681204). Social Science Research Network. https://doi.org/10.2139/ssrn.3681204
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- Aug 2020
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www.nature.com www.nature.com
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Zheng, Q., Jones, F. K., Leavitt, S. V., Ung, L., Labrique, A. B., Peters, D. H., Lee, E. C., & Azman, A. S. (2020). HIT-COVID, a global database tracking public health interventions to COVID-19. Scientific Data, 7(1), 286. https://doi.org/10.1038/s41597-020-00610-2
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www.nytimes.com www.nytimes.com
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Senior, J. (2020, July 21). Opinion | I Spoke With Anthony Fauci. He Says His Inbox Isn’t Pretty. The New York Times. https://www.nytimes.com/2020/07/21/opinion/anthony-fauci-coronavirus.html
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www.washingtonpost.com www.washingtonpost.com
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Yu, X. (n.d.). Opinion | I’m from Wuhan. I got covid-19—After traveling to Florida. Washington Post. Retrieved 17 July 2020, from https://www.washingtonpost.com/opinions/2020/07/15/im-wuhan-i-got-covid-19-after-traveling-florida/
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www.youtube.com www.youtube.com
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Using Social and Behavioral Science to Support COVID 19 Pandemic Response with Dr. Jay Van Bavel. (2020, May 7). https://www.youtube.com/watch?v=nuTPmaFsNrA
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osf.io osf.io
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Beytía, P., & Infante, C. C. (2020). Digital Pathways, Pandemic Trajectories. Using Google Trends to Track Social Responses to COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yndb7
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Holtz, D., Zhao, M., Benzell, S. G., Cao, C. Y., Rahimian, M. A., Yang, J., Allen, J., Collis, A., Moehring, A., Sowrirajan, T., Ghosh, D., Zhang, Y., Dhillon, P. S., Nicolaides, C., Eckles, D., & Aral, S. (2020). Interdependence and the cost of uncoordinated responses to COVID-19. Proceedings of the National Academy of Sciences, 117(33), 19837–19843. https://doi.org/10.1073/pnas.2009522117
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covid-19.iza.org covid-19.iza.org
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Stay-At-Home Orders, Social Distancing and Trust. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13234/
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www.journalofsurgicalresearch.com www.journalofsurgicalresearch.com
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Chang, D. C., & Stapleton, S. M. (2020). Response: The Proliferation and Misinterpretation of “As Safe As” Statements in Surgical Science: A Call for Professional Discourse to Search for a Solution. Journal of Surgical Research, 0(0). https://doi.org/10.1016/j.jss.2020.03.074
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psyarxiv.com psyarxiv.com
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Hong, Jihoon, Ikjae Jung, Mingeol Park, Kyumin Kim, Sungook Yeo, Joohee Lee, Yujin Hong, Jangho Park, and Seockhoon Chung. ‘The Attitudes of Medical Students for Their Roles and Social Accountability in the COVID-19 Pandemic Era’. Preprint. PsyArXiv, 19 August 2020. https://doi.org/10.31234/osf.io/478ef.
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www.nature.com www.nature.com
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Lewis, D. (2020). ‘We felt we had beaten it’: New Zealand’s race to eliminate the coronavirus again. Nature. https://doi.org/10.1038/d41586-020-02402-5
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www.nber.org www.nber.org
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Brown, C. S., & Ravallion, M. (2020). Inequality and the Coronavirus: Socioeconomic Covariates of Behavioral Responses and Viral Outcomes Across US Counties (Working Paper No. 27549; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27549
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www.nber.org www.nber.org
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Allcott, H., Boxell, L., Conway, J. C., Gentzkow, M., Thaler, M., & Yang, D. Y. (2020). Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic (Working Paper No. 26946; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26946
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www.nber.org www.nber.org
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Ding, W., Levine, R., Lin, C., & Xie, W. (2020). Social Distancing and Social Capital: Why U.S. Counties Respond Differently to COVID-19 (Working Paper No. 27393; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27393
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www.nytimes.com www.nytimes.com
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Bellafante, G. (2020, August 7). Lifestyles of the Rich and Reckless: Posh Pandemic Parties. The New York Times. https://www.nytimes.com/2020/08/07/nyregion/coronavirus-rich-parties.html
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www.nber.org www.nber.org
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Simonov, A., Sacher, S. K., Dubé, J.-P. H., & Biswas, S. (2020). The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the Covid-19 Pandemic (Working Paper No. 27237; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27237
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Stock, James H. ‘Data Gaps and the Policy Response to the Novel Coronavirus’. Working Paper. Working Paper Series. National Bureau of Economic Research, March 2020. https://doi.org/10.3386/w26902.
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Barrios, J. M., Benmelech, E., Hochberg, Y. V., Sapienza, P., & Zingales, L. (2020). Civic Capital and Social Distancing during the Covid-19 Pandemic (Working Paper No. 27320; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27320
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Fetzer, T. R., Witte, M., Hensel, L., Jachimowicz, J., Haushofer, J., Ivchenko, A., Caria, S., Reutskaja, E., Roth, C. P., Fiorin, S., Gómez, M., Kraft-Todd, G., Götz, F. M., & Yoeli, E. (2020). Global Behaviors and Perceptions at the Onset of the COVID-19 Pandemic (Working Paper No. 27082; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27082
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Jinjarak, Y., Ahmed, R., Nair-Desai, S., Xin, W., & Aizenman, J. (2020). Accounting for Global COVID-19 Diffusion Patterns, January-April 2020 (Working Paper No. 27185; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27185
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covid-19.iza.org covid-19.iza.org
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Social Stability Challenged: Pandemics, Inequality and Policy Responses. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13249/
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covid-19.iza.org covid-19.iza.org
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Were Urban Cowboys Enough to Control COVID-19? Local Shelter-In-Place Orders and Coronavirus Case Growth. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13262/
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covid-19.iza.org covid-19.iza.org
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EU Jobs at Highest Risk of COVID-19 Social Distancing: Will the Pandemic Exacerbate Labour Market Divide?. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13281/
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Akbarpour, M., Cook, C., Marzuoli, A., Mongey, S., Nagaraj, A., Saccarola, M., Tebaldi, P., Vasserman, S., & Yang, H. (2020). Socioeconomic Network Heterogeneity and Pandemic Policy Response (Working Paper No. 27374; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27374
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- Jul 2020
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www.nber.org www.nber.org
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osf.io osf.io
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La, V.-P., Pham, T.-H., Ho, T. M., Hoàng, N. M., Linh, N. P. K., Vuong, T.-T., Nguyen, H.-K. T., Tran, T., Van Quy, K., Ho, T. M., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/cfw8x
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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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psyarxiv.com psyarxiv.com
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Salvador, C., Kraus, B., Ackerman, J., Gelfand, M., & Kitayama, S. (2020, April 10). Interdependent Self-Construal Predicts Complacency Under Pathogen Threat: An Electrocortical Investigation. https://doi.org/10.31234/osf.io/t5pg6
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www.thelancet.com www.thelancet.com
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The Lancet. (2020). The gendered dimensions of COVID-19. The Lancet, 395(10231), 1168. https://doi.org/10.1016/S0140-6736(20)30823-0
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www.thelancet.com www.thelancet.com
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Atlani-Duault, L., Chauvin, F., Yazdanpanah, Y., Lina, B., Benamouzig, D., Bouadma, L., Druais, P. L., Hoang, A., Grard, M.-A., Malvy, D., & Delfraissy, J.-F. (2020). France’s COVID-19 response: Balancing conflicting public health traditions. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31599-3
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Bosancianu, C. M., Dionne, K. Y., Hilbig, H., Humphreys, M., Kc, S., Lieber, N., & Scacco, A. (2020). Political and Social Correlates of Covid-19 Mortality [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/ub3zd
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Starominski-Uehara, M. (2020). Powering Social Media Footage: Simple Guide for the Most Vulnerable to Make Emergency Visible [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/ek6tz
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osf.io osf.io
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Méndez, P. F. (2020). Blue uncertainty: Warding off systemic risks in the Anthropocene – Lessons from COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/z2br5
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Davies. S., (2020/06/12). Architects are redesigning cities to help with social distancing. Retrieved from https://www.weforum.org/agenda/2020/06/architects-covid19-urban-infrastructure-cities-social-distancing
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osf.io osf.io
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Breznau, N. (2020). The Welfare State and Risk Perceptions: The Novel Coronavirus Pandemic and Public Concern in 70 Countries. https://doi.org/10.31235/osf.io/96fd2
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blogs.scientificamerican.com blogs.scientificamerican.com
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Kaufman, S. B. (n.d.). Forced Social Isolation Causes Neural Craving Similar to Hunger. Scientific American Blog Network. Retrieved 26 June 2020, from https://blogs.scientificamerican.com/beautiful-minds/forced-social-isolation-causes-neural-craving-similar-to-hunger/
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psyarxiv.com psyarxiv.com
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Adam-Troian, J., & Bagci, S. (2020). The pathogen paradox: Evidence that perceived COVID-19 threat is associated with both pro- and anti-immigrant attitudes. https://doi.org/10.31234/osf.io/948ch
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Levita, L., Gibson Miller, J., Hartman, T. K., Murphy, J., Shevlin, M., McBride, O., McKay, R., Mason, L., Martinez, A. P., Stocks, T. V. A., bennett, kate m, & Bentall, R. (2020). Report1: Impact of Covid-19 on young people aged 13-24 in the UK- preliminary findings [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/uq4rn
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www.scientificamerican.com www.scientificamerican.com
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US, A. B., The Conversation. (n.d.). Coronavirus Responses Highlight How Humans Have Evolved to Dismiss Facts That Don’t Fit Their Worldview. Scientific American. Retrieved June 30, 2020, from https://www.scientificamerican.com/article/coronavirus-responses-highlight-how-humans-have-evolved-to-dismiss-facts-that-dont-fit-their-worldview/
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psyarxiv.com psyarxiv.com
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Bulbulia, J., Barlow, F., Davis, D. E., Greaves, L., Highland, B., Houkamau, C., Milfont, T. L., Osborne, D., Piven, S., Shaver, J., Troughton, G., Wilson, M., Yogeeswaran, K., & Sibley, C. G. (2020). National Longitudinal Investigation of COVID-19 Lockdown Distress Clarifies Mechanisms of Mental Health Burden and Relief [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/cswde
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www.washingtonpost.com www.washingtonpost.com
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Sacchetti, M. (2020, June 19). Vermont borders states with major covid-19 outbreaks, but you won’t find that here. Washington Post. https://www.washingtonpost.com/national/vermont-borders-states-with-major-covid-19-outbreaks-but-you-wont-find-that-here/2020/06/18/221b0988-a888-11ea-b619-3f9133bbb482_story.html
Tags
- lang:en
- elderly
- social distancing
- is:news
- success
- Vermont
- COVID-19
- low infection rate
- USA
- early response
Annotators
URL
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read.oecd-ilibrary.org read.oecd-ilibrary.org
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Youth and COVID 19: Response, Recovery and Resilience—OECD. (n.d.). Retrieved June 17, 2020, from https://read.oecd-ilibrary.org/view/?ref=134_134356-ud5kox3g26&title=Youth-and-COVID-19-Response-Recovery-and-Resilience
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www.cnbc.com www.cnbc.com
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Farr, C. (2020, May 23). Why scientists are changing their minds and disagreeing during the coronavirus pandemic. CNBC. https://www.cnbc.com/2020/05/23/why-scientists-change-their-mind-and-disagree.html
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psyarxiv.com psyarxiv.com
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McBride, O., Murphy, J., Shevlin, M., Gibson Miller, J., Hartman, T. K., Hyland, P., Levita, L., Mason, L., Martinez, A. P., McKay, R., Stocks, T. V. A., bennett, kate m, Vallières, F., Karatzias, T., Valiente, C., Vazquez, C., & Bentall, R. (2020). An overview of the context, design and conduct of the first two waves of the COVID-19 Psychological Research Consortium (C19PRC) Study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/z3q5p
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arxiv.org arxiv.org
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Gozzi, N., Tizzani, M., Starnini, M., Ciulla, F., Paolotti, D., Panisson, A., & Perra, N. (2020). Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia. ArXiv:2006.06446 [Physics]. http://arxiv.org/abs/2006.06446
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www.reddit.com www.reddit.com
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arxiv.org arxiv.org
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Alshaabi, T., et al. (2020 March 27). How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. Cornell University. arXiv:2003.12614
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thebulletin.org thebulletin.org
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Kim, H. (2020, March 20). South Korea learned its successful Covid-19 strategy from a previous coronavirus outbreak: MERS. Bulletin of the Atomic Scientists. https://thebulletin.org/2020/03/south-korea-learned-its-successful-covid-19-strategy-from-a-previous-coronavirus-outbreak-mers/
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Hargreaves, J., Davey, C., Hargreaves, J., Davey, C., Auerbach, J., Blanchard, J., Bond, V., Bonell, C., Burgess, R., Busza, J., Colbourn, T., Cowan, F., Doyle, A., Hakim, J., Hensen, B., Hosseinipour, M., Lin, L., Johnson, S., Masuka, N., … Yekeye, R. (2020). Three lessons for the COVID-19 response from pandemic HIV. The Lancet HIV, S2352301820301107. https://doi.org/10.1016/S2352-3018(20)30110-7
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journals.plos.org journals.plos.org
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Rahmani P, Peruani F, Romanczuk P (2020) Flocking in complex environments—Attention trade-offs in collective information processing. PLoS Comput Biol 16(4): e1007697. https://doi.org/10.1371/journal.pcbi.1007697
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cpg.doc.ic.ac.uk cpg.doc.ic.ac.uk
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de Montjoye, Y. et al. (2020 April 02). Evaluating COVID-19 contact tracing apps? Here are 8 privacy questions we think you should ask. Computational Privacy Group. https://cpg.doc.ic.ac.uk/blog/evaluating-contact-tracing-apps-here-are-8-privacy-questions-we-think-you-should-ask/
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blogs.scientificamerican.com blogs.scientificamerican.com
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Brangwynne, C. (2020 April 29). How a Landmark Physics Paper from the 1970s Uncannily Describes the COVID-19 Pandemic. Scientific American Blog Network. https://blogs.scientificamerican.com/observations/how-a-landmark-physics-paper-from-the-1970s-uncannily-describes-the-covid-19-pandemic/
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bfi.uchicago.edu bfi.uchicago.edu
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Brzezinski, A., Kecht, V., Van Dijcke, D., Wright, A. (2020) Belief in Science Influences Physical Distancing in Response to COVID-19 Lockdown Policies. BFI. https://bfi.uchicago.edu/working-paper/belief-in-science-influences-physical-distancing-in-response-to-covid-19-lockdown-policies/
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www.technologyreview.com www.technologyreview.com
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A flood of coronavirus apps are tracking us. Now it’s time to keep track of them. (n.d.). MIT Technology Review. Retrieved May 12, 2020, from https://www.technologyreview.com/2020/05/07/1000961/launching-mittr-covid-tracing-tracker/
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jamanetwork.com jamanetwork.com
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Steinbrook, R. (2020). Contact Tracing, Testing, and Control of COVID-19—Learning From Taiwan. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.2072
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www.nature.com www.nature.com
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West, R., Michie, S., Rubin, G. J., & Amlôt, R. (2020). Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nature Human Behaviour, 1–9. https://doi.org/10.1038/s41562-020-0887-9
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jamanetwork.com jamanetwork.com
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Walensky, R. P., & Rio, C. del. (2020). From Mitigation to Containment of the COVID-19 Pandemic: Putting the SARS-CoV-2 Genie Back in the Bottle. JAMA. https://doi.org/10.1001/jama.2020.6572
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www.thelancet.com www.thelancet.com
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Clay, J. M., & Parker, M. O. (2020). Alcohol use and misuse during the COVID-19 pandemic: A potential public health crisis? The Lancet Public Health, S2468266720300888. https://doi.org/10.1016/S2468-2667(20)30088-8
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www.imperial.ac.uk www.imperial.ac.uk
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Seth Flaxman, Swapnil Mishra, Axel Gandy et al. Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. Imperial College London (2020), doi:https://doi.org/10.25561/77731
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arxiv.org arxiv.org
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Serrano, J. C. M., Papakyriakopoulos, O., & Hegelich, S. (2020). Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok. ArXiv:2004.05478 [Cs]. http://arxiv.org/abs/2004.05478
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Psychonomic Society (2020 April 29). Keep Your Social Distance Up (Tips from behavioral scientists to help slow the spread of COVID-19). https://www.youtube.com/watch?v=ZVL66099O0s
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psyarxiv.com psyarxiv.com
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Lelonkiewicz, J. R., Gambi, C., Weller, L., & Pfister, R. (2020, April 15). Lelonkiewicz_et_al_2020_Adaptation_and_Anticipation. https://doi.org/10.1037/xhp0000717
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psyarxiv.com psyarxiv.com
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Bischetti, L., Canal, P., & Bambini, V. (2020). Funny but aversive: A large-scale survey on the emotional response to Covid-19 humor in the Italian population during the lockdown [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/efk93
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- Apr 2020
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www.thelancet.com www.thelancet.com
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Ahmad, A., Chung, R., Eckenwiler, L., Ganguli, A. M., Hunt, M., Richards, R., Saghai, Y., Schwartz, L., Scully, J. L., & Wild, V. (2020). What does it mean to be made vulnerable in the era of COVID-19? The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30979-X
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Mental health COVID-19: Research priorities. (2020, April 27). National Elf Service. https://www.nationalelfservice.net/mental-health/mental-health-covid-19/
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psyarxiv.com psyarxiv.com
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Vijayaraghavan, P., & SINGHAL, D. (2020, April 13). A Descriptive Study of Indian General Public’s Psychological responses during COVID-19 Pandemic Lockdown Period in India. https://doi.org/10.31234/osf.io/jeksn
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Lades, L., Laffan, K., Daly, M., & Delaney, L. (2020, April 22). Daily emotional well-being during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/pg6bw
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www.medrxiv.org www.medrxiv.org
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Keeling, M. J., Hollingsworth, T. D., & Read, J. M. (2020). The Efficacy of Contact Tracing for the Containment of the 2019 Novel Coronavirus (COVID-19). [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.02.14.20023036
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psyarxiv.com psyarxiv.com
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Wolf, M. G. (2020, April 26). Survey Uses May Influence Survey Responses. https://doi.org/10.31234/osf.io/c4hd6
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www.cdc.gov www.cdc.gov
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CDC. (2020, February 11). Coronavirus Disease 2019 (COVID-19). Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
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Okruszek, Ł., Aniszewska-Stańczuk, A., Piejka, A., Wiśniewska, M., & Żurek, K. (2020, April 10). Safe but lonely? Loneliness, mental health symptoms and COVID-19. https://doi.org/10.31234/osf.io/9njps
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psyarxiv.com psyarxiv.com
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Abu-Akel, A., Spitz, A., & West, R. (2020, April 9). Who is listening? Spokesperson Effect on Communicating Social and Physical Distancing Measures During the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/bmzve
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psyarxiv.com psyarxiv.com
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Rafiei, F., & Rahnev, D. (2020, April 9). Does the diffusion model account for the effects of speed-accuracy tradeoff on response times?. https://doi.org/10.31234/osf.io/bhj85
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psyarxiv.com psyarxiv.com
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Kirkegaard, E., Taji, W., & Gerritsen, A. (2020, April 5). Predicting a Pandemic: testing crowd wisdom and expert forecasting amidst the novel COVID-19 outbreak. https://doi.org/10.31234/osf.io/2d75g
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www.nuffieldfoundation.org www.nuffieldfoundation.org
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Gardam, T. (2020 March 12). How should the Nuffield Foundation research community respond to the social implications of the coronavirus (COVID-19) pandemic?. NuffieldFoundation.org. https://www.nuffieldfoundation.org/news/opinion/how-should-the-nuffield-foundation-research-community-respond-to-the-social-implications-of-the-coronavirus-covid-19-pandemic
Tags
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URL
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www.thelancet.com www.thelancet.com
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Xu, S., & Li, Y. (2020). Beware of the second wave of COVID-19. The Lancet, S014067362030845X. https://doi.org/10.1016/S0140-6736(20)30845-X
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arxiv.org arxiv.org
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Koren, M., & Petö, R. (2020, March 20). Business disruptions from social distancing. Cornel University. arXiv:2003.13983.
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ij-healthgeographics.biomedcentral.com ij-healthgeographics.biomedcentral.com
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Kamel Boulos, M.N., Geraghty, E.M. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr 19, 8 (2020). https://doi.org/10.1186/s12942-020-00202-8
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www.thelancet.com www.thelancet.com
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Hall, K. S., Samari, G., Garbers, S., Casey, S. E., Diallo, D. D., Orcutt, M., Moresky, R. T., Martinez, M. E., & McGovern, T. (2020). Centring sexual and reproductive health and justice in the global COVID-19 response. The Lancet, 395(10231), 1175–1177. https://doi.org/10.1016/S0140-6736(20)30801-1
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www.igmchicago.org www.igmchicago.org
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IGM Forum. Policy for the COVID-19 crisis. Chicago Booth. http://www.igmchicago.org/surveys/policy-for-the-covid-19-crisis/
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Kutscher, C. (2020 April 8). The Coronavirus and Climate Change: How we're making the same mistakes. Medium. https://medium.com/@chuck.kutscher/the-coronavirus-and-climate-change-how-were-making-the-same-mistakes-2cd01cce2295
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arxiv.org arxiv.org
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Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. ArXiv:2004.04544 [Physics, q-Bio]. http://arxiv.org/abs/2004.04544
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www.bps.org.uk www.bps.org.uk
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British Psychological Society. Responding to Coronavirus: Resources and support. https://www.bps.org.uk/responding-coronavirus
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marlin-prod.literatumonline.com marlin-prod.literatumonline.com
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Liao, H., Zhang, L., Marley, G., Tang, W. (2020). Differentiating COVID-19 response strategies. University of North Carolina Project-China. DOI: 10.1016/j.xinn.2020.04.003
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doi.org doi.org
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Atchison, C. J., Bowman, L., Vrinten, C., Redd, R., Pristera, P., Eaton, J. W., & Ward, H. (2020). Perceptions and behavioural responses of the general public during the COVID-19 pandemic: A cross-sectional survey of UK Adults [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.04.01.20050039
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- policy
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- adult
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Annotators
URL
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www.technologyreview.com www.technologyreview.com
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Rotman, D. (2020 April 8). Stop covid or save the economy? We can do both. MIT Technology Review. https://www.technologyreview.com/2020/04/08/998785/stop-covid-or-save-the-economy-we-can-do-both/
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www.biorxiv.org www.biorxiv.org
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Tomova, L., Wang, K., Thompson, T., Matthews, G., Takahashi, A., Tye, K., & Saxe, R. (2020). The need to connect: Acute social isolation causes neural craving responses similar to hunger. BioRxiv, 2020.03.25.006643. https://doi.org/10.1101/2020.03.25.006643
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arxiv.org arxiv.org
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Alam, F., Sajjad, H., Imran, M., & Ofli, F. (2020). Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ArXiv:2004.06774 [Cs]. http://arxiv.org/abs/2004.06774
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- Jan 2019
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wendynorris.com wendynorris.com
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Our extensions also have implications for theories ontrust.
Bookmarked section for later consideration of proposal studies on how time interacts with trust in time- and safety-critical social coordination.
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Therefore, training should focus on learning how toquickly recognize volunteers’ volition in participating inan emergent group, the tasks they might engage in, andthe support they might need to carry out those tasks.Such training could also help people to recognize thebenefits and dangers of generalized trust. It could alsohelp people to quickly evolve a coordination mecha-nism that does not rely on what people know, but oncompiling and communicating a narrative of the actionsthat volunteers take, so that others are able to assess forthemselves what actions they could take to help.
Majchrzak et al continue to suggest that emergent response training could reconceptualize a new role for emergency management professionals, aside from the default coordination/management. Further, they suggest that citizens could be trained to participate.
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ur examination suggests that by expandingthe context in which TMS theory is applied to includeemergent response groups, insights can be gained intotheir internal dynamics. The three indicators of the levelof development of a TMS provide a useful frameworkfor organizing these insights in the exhibit.
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The urgency of time may make it too onerous forthe extra effort of articulating actions as they are beingperformed, yet most emergency response requires somecommunication.
Interaction of time (tempo/pace) and breakdowns in articulation work.
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Explicitly articulated narratives mayalso make clearer that multiple sequences of actions maybe occurring simultaneously, thus resolving role conflictsby allowing multiple ways to accomplish a task
Evokes Schmidt and Bannon's articulation work in CSCW.
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Emergent response groups may also use a mechanismof creating a community narrative (Boland and Tenkasi1995), which is a running narrative of the actions takenand not taken, the decisions made, and the theories inuse. Narratives do not represent a single shared under-standing of a domain; rather they represent the mul-tiplicity of events and actions a community is taking,as members are taking them. Narratives may be articu-lated explicitly or understood implicitly.
SBTF after-action report, as an example. But who is the audience for this narrative?
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Whenemergent response groups first come together, membersare likely not to ask one another about who knows what;instead, they are likely to ask about what is knownabout the situation and about the actions taken thus far(Dyer and Shafer 2003, Hale et al. 2005). The cogni-tive structure that they develop for the group centersnot around people, but on action-based scenarios thateither have been or might be carried out. These scenariosinclude decisions, actions, knowledge, events, and feed-back (Vera and Crossan 2005).
Suggested extensions for TMS theory:
"1. Tailor the Role of Expertise"
"2. "Replacing Credibility in Expertise with Trust Through Action"
"3. "Coordinating Knowledge Processes Without a Shared Metastructure"
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On the surface, the lack of sta-ble membership suggests that a shared mental modelmay not be viable or even desired in emergent responsegroups. Time may be too precious to seek consensus onevents and actions, and agreements may make the groupless flexible to accommodate to changing inputs.
Evokes pluritemporal concerns about tempo, pace and synchronization.
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hus, we believe challenges occur in all three indica-tors of the level of development of a TMS—expertisespecialization, credibility, and expertise coordination—requiring a need to consider extending theorizing abouteach indicator for emergent response groups.
Ways to extend TMS to emergent groups:
"1. Reconceptualize the Role of Expertise Specialization as a Basis for Task Assignment"
"2. Assessing Credibility in Emergent Response Groups"
"3. Expertise Coordination in Emergent Response Groups"
These extensions evoke boundary objects and invisibility
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Moreland and Argote(2003) suggest that the dynamic conditions under whichthese groups form and work together are likely to havenegative effects on the development of transactive mem-ory.
Are there workflow or technology breakdowns that could help ameliorate the negative effects?
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Research on TMS has identified three indicators of thelevel of development of a TMS (Lewis 2003, Morelandand Argote 2003):1.Memory (or expertise) specialization:the tendencyfor groups to delegate responsibility and to specialize indifferent aspects of the task;2.Credibility:beliefs about the reliability of mem-bers’ expertise; and3.Task (or expertise) coordination:the ability of teammembers to coordinate their work efficiently based ontheir knowledge of who knows what in the group.The greater the presence of each indicator, the more de-veloped the TMS and the more valuable the TMS is forefficiently coordinating the actions of group members.
Three indicators of the level of sophistication of the system:
• Memory specialization (think trauma/hospital care CSCW studies)
• Credibility
• Task coordination
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A TMS can be thoughtof as a network of interconnected individual memorysystems and the transfer of knowledge among them(Wegner 1995). Individuals who are part of a TMSassume responsibility for different knowledge domains,and rely on one another to access each other’s expertiseacross domains. Expertise is defined in the TMS litera-ture to broadly include the know-what, know-how, andknow-why of a knowledge domain (Quinn et al. 1996),what Blackler (1995) refers to as embodied competen-cies. Expertise specialization, then, reduces the cognitiveload of each individual and the amount of redundantknowledge in the group, while collectively providingthe dyad or group access to a larger pool of knowl-edge. What makes transactive memory transactive arethe communications (called transactions) among individ-uals that make possible the codifying, storing, retrieving,and updating of information from individual memorysystems. For transactive memory to function effectively,individuals must have a shared conceptualization of whoknows what in the group.
Majchrzak et al describe how TMS is oeprationalized as a network.
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TMS theory, a theoryof group-level cognition, explains how people in collec-tives learn, store, use, and coordinate their knowledge toaccomplish individual, group, and organizational goals.It is a theory about how people in relationships, groups,and organizations learn who knows what, and use thatknowledge to decide who will do what, resulting in moreefficient and effective individual and collective perfor-mance.
Definition of transactive memory systems theory -- used in org studies to understand how knowledge is coordinated among groups.
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The urgency of the situation meansthat the objective of coordination is to achieve minimallyacceptable and timely action, even when more effec-tive responses may be feasible—but would take longerand use more resources.
temporal issues related to emergent response: pace and timeliness
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hese characteristics require thatemergent response groups adopt specific approaches forknowledge coordination. One such approach commonlydocumented in studies of such groups is their use ofa learn-by-doing (versus decision making) action-basedmodel of coordinated problem solving, in which sensemaking and improvisation are the norm rather than theexception
Evokes LPP, sensemaking, and improvised coordination.
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isaster researchers havedefinedemergent response groupsas collectives of indi-viduals who use nonroutine resources and activities toapply to nonroutine domains and tasks, using nonroutineorganizational arrangements (Bigley and Roberts 2001,Drabek et al. 1981, Drabek 1986, Drabek and McEntire2003, Kreps 1984, Tierney et al. 2001).
Definition of emergent response groups
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Disasters have wideimplications for expertise coordination because the pre-conditions known to facilitate expertise coordination arelimited or nonexistent in disaster response. Such precon-ditions include but are not limited to, a shared goal; aclear reward structure; known group membership, exper-tise, and skills to accomplish the task; and time to sharewho knows what.
Implications for org studies research.
At least as of 2007 (publication date), the internal dynamics of emergent orgs were still relatively unknown.
The dynamics of professional-emergent disaster response is under-studied.
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Although the con-ventional indicators of efficient coordination—expertisespecialization, credibility in expertise, and coordinationof expertise—are relevant in disaster response, disasterspresent a unique operational environment. Disasters are“events, observable in time and space, in which societiesor their subunits (e.g., communities, regions) incur phys-ical damages and losses and/or disruption of their routine
"Disasters represent a unique operational environment."
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