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UK scientists caution that lifting of Covid rules is like building ‘variant factories’. (2021, July 4). The Guardian. http://www.theguardian.com/world/2021/jul/04/uk-scientists-caution-that-lifting-of-covid-rules-is-like-building-variant-factories
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Bressan, P. (2021). Strangers look sicker (with implications in times of COVID-19). PsyArXiv. https://doi.org/10.31234/osf.io/x4unv
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Masters, N. B., Eisenberg, M. C., Delamater, P. L., Kay, M., Boulton, M. L., & Zelner, J. (2020). Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data. Proceedings of the National Academy of Sciences, 117(45), 28506–28514.
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Tybur, J. M., Lieberman, D., Fan, L., Kupfer, T. R., & de Vries, R. E. (2020). Behavioral Immune Trade-Offs: Interpersonal Value Relaxes Social Pathogen Avoidance. Psychological Science, 31(10), 1211–1221. https://doi.org/10.1177/0956797620960011
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Salvador, C. E., Berg, M. K., Yu, Q., San Martin, A., & Kitayama, S. (2020). Relational Mobility Predicts Faster Spread of COVID-19: A 39-Country Study. Psychological Science, 31(10), 1236–1244. https://doi.org/10.1177/0956797620958118
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Kadiwar, S., Smith, J. J., Ledot, S., Johnson, M., Bianchi, P., Singh, N., Montanaro, C., Gatzoulis, M., Shah, N., & Ukor, E.-F. (2021). Were pregnant women more affected by COVID-19 in the second wave of the pandemic? The Lancet, 397(10284), 1539–1540. https://doi.org/10.1016/S0140-6736(21)00716-9
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More frequent side-effects reported mixing Pfizer and Oxford Covid jabs, study suggests. (2021, May 12). The Guardian. http://www.theguardian.com/society/2021/may/12/more-frequent-side-effects-reported-mixing-pfizer-and-oxford-covid-jabs-study-suggests
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Wilson, C. (n.d.). Could the coronavirus trigger post-viral fatigue syndromes? New Scientist. Retrieved June 24, 2020, from https://www.newscientist.com/article/mg24632783-400-could-the-coronavirus-trigger-post-viral-fatigue-syndromes/
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www.pharmaceutical-technology.com www.pharmaceutical-technology.com
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Nawrat, A. (2020, June 03). Covid-19 pandemic: Tackling infectious disease’s investment challenges. https://www.pharmaceutical-technology.com/features/covid-19-investment-infectious-disease/
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doi.org doi.org
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Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627
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pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
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Bertoncello, C., Ferro, A., Fonzo, M., Zanovello, S., Napoletano, G., Russo, F., Baldo, V., & Cocchio, S. (2020). Socioeconomic Determinants in Vaccine Hesitancy and Vaccine Refusal in Italy. Vaccines, 8(2). https://doi.org/10.3390/vaccines8020276
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Sturniolo, S., Waites, W., Colbourn, T., Manheim, D., & Panovska-Griffiths, J. (2020). Testing, tracing and isolation in compartmental models. MedRxiv, 2020.05.14.20101808. https://doi.org/10.1101/2020.05.14.20101808
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arxiv.org arxiv.org
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Kempfert, K., Martinez, K., Siraj, A., Conrad, J., Fairchild, G., Ziemann, A., Parikh, N., Osthus, D., Generous, N., Del Valle, S., & Manore, C. (2020). Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil. ArXiv:2006.02483 [q-Bio, Stat]. http://arxiv.org/abs/2006.02483
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What history can tell us about infectious diseases. (2020, June 2). OUPblog. https://blog.oup.com/2020/06/what-history-can-tell-us-about-infectious-diseases/
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- May 2020
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psyarxiv.com psyarxiv.com
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Zmigrod, L., Ebert, T., Götz, F. M., & Rentfrow, J. (2020, April 11). The Psychological and Socio-political Consequences of Infectious Diseases. https://doi.org/10.31234/osf.io/84qcm
Tags
- study
- is:preprint
- socio-political
- authoritarianism
- infection
- USA
- politics
- COVID-19
- lang:en
- cross-cultural
- risk perception
- infectious disease
- psychology
- social psychology
- research
- BIS
- infection-avoidance
- behavioral immune system
- ideology
- consequences
- disposition
- public health
- attitude
- government
- behavior
Annotators
URL
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www.nytimes.com www.nytimes.com
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Beech, H., Rubin, A. J., Kurmanaev, A., & Maclean, R. (2020, May 3). The Covid-19 Riddle: Why Does the Virus Wallop Some Places and Spare Others? The New York Times. https://www.nytimes.com/2020/05/03/world/asia/coronavirus-spread-where-why.html
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psyarxiv.com psyarxiv.com
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Martin, C. C. (2020, May 20). HEXACO Traits, Big Five Traits, and COVID-19. https://doi.org/10.31234/osf.io/c9gxe
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science.sciencemag.org science.sciencemag.org
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Cobey, S. (2020). Modeling infectious disease dynamics. Science, 368(6492), 713–714. https://doi.org/10.1126/science.abb5659
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www.visualcapitalist.com www.visualcapitalist.com
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LePan, N. (2020, March 14). Visualizing the History of Pandemics. Visual Capitalist. https://www.visualcapitalist.com/history-of-pandemics-deadliest/
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Yang, Z., Ji, L. J., Yang, Y., Wang, X., Zhang, M., Xie, Y., … Cai, H. (2020, April 17). COVID-19 Outbreak Enhances Making Meaning in Negative Experiences: Evidence from China. https://doi.org/10.31234/osf.io/9twhb
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- Apr 2020
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journals.plos.org journals.plos.org
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Garira W (2020) The research and development process for multiscale models of infectious disease systems. PLoS Comput Biol 16(4): e1007734. https://doi.org/10.1371/journal.pcbi.1007734
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arxiv.org arxiv.org
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El Shoghri, A., et al. (2020 April 03). How mobility patterns drive disease spread: A case study using public transit passenger card travel data. 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks". DOI:10.1109/WoWMoM.2019.8793018
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www.youtube.com www.youtube.com
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COMBINE Network Biology at UMD. (2020 April 09). Net-COVID Session1A: Network epidemiology tutorial by Laurent Herbert-Dufresne Youtube. https://www.youtube.com/watch?v=5NGFDnJKiKA
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Resnick, B. (2020 April 10). Why it's so hard to see into the future of Covid-19. Vox. https://www.vox.com/science-and-health/2020/4/10/21209961/coronavirus-models-covid-19-limitations-imhe
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www.medrxiv.org www.medrxiv.org
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Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M., Fry, H., & Gog, J. R. (2020). Contacts in context: Large-scale setting-specific social mixing matrices from the BBC Pandemic project [Preprint]. Epidemiology. https://doi.org/10.1101/2020.02.16.20023754
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Wölfel, R., Corman, V.M., Guggemos, W. et al. Virological assessment of hospitalized patients with COVID-2019. Nature (2020). https://doi.org/10.1038/s41586-020-2196-x
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Abdulla, A., Wang, B., Qian, F., Kee, T., Blasiak, A., Ong, Y. H., Hooi, L., Parekh, F., Soriano, R., Olinger, G. G., Keppo, J., Hardesty, C. L., Chow, E. K., Ho, D., & Ding, X. (n.d.). Project IDentif.AI: Harnessing Artificial Intelligence to Rapidly Optimize Combination Therapy Development for Infectious Disease Intervention. Advanced Therapeutics, n/a(n/a), 2000034. https://doi.org/10.1002/adtp.202000034
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