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psyarxiv.com psyarxiv.com
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Olapegba, P. O., Ayandele, O., Kolawole, S. O., Oguntayo, R., Gandi, J. C., Dangiwa, A. L., … Iorfa, S. K. (2020, April 12). COVID-19 Knowledge and Perceptions in Nigeria. https://doi.org/10.31234/osf.io/j356x
Tags
- lockdown
- perception
- misconception
- knowledge
- infection
- questionnaire
- public health
- COVID-19
- precaution
- descriptive statistics
- behavior
- media
- lang:en
- China
- general public
- health information
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- is:preprint
- Nigeria
- prevention
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- symptom
Annotators
URL
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psyarxiv.com psyarxiv.com
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Fronapfel, B. H., & Demchak, M. (2020, April 12). School’s Out for COVID-19: 50 Ways BCBA Trainees in Special Education Settings Can Accrue Independent Fieldwork Experience Hours During the Pandemic. https://doi.org/10.31234/osf.io/cr3uv
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psyarxiv.com psyarxiv.com
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Colombo, R., Wallace, M., & Taylor, R. S. (2020, April 11). An Essential Service Decision Model for Applied Behavior Analytic Providers During Crisis. https://doi.org/10.31234/osf.io/te8ha
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cmmid.github.io cmmid.github.io
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Russell, T.W., Hellewell, J., Abbott, S., Golding, N.,Gibbs, H., Jarvis, C.I., van Zandvoort, K., Flasche, S., Eggo, R., Edmunds, W.J., Kucharski., A.J. (2020, March 22). Using a delay-adjusted case fatality ratio to estimate under-reporting. CMMID Repository. https://cmmid.github.io/topics/covid19/global_cfr_estimates.html
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psyarxiv.com psyarxiv.com
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Erceg, N., Ružojčić, M., & Galic, Z. (2020, April 10). Misbehaving in the Corona Crisis: The Role of Anxiety and Unfounded Beliefs. https://doi.org/10.31234/osf.io/cgjw8
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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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arxiv.org arxiv.org
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Velásquez, N., et al. (2020, April 1). Hate multiverse spreads malicious COVID-19 content online beyond individual platform control. Cornell University. arXiv:2004.00673.
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twitter.com twitter.comTwitter1
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Source: Office for National Statistics - United Kingdom
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Killeen, B.D., et al. (2020, April 1). A country-level dataset for informing the United States' response to COVID-19. Cornel University. arXiv:2004.00756.
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beckinstitute.org beckinstitute.org
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Wang, Z., Tang, K. Combating COVID-19: health equity matters. Nat Med (2020). https://doi.org/10.1038/s41591-020-0823-6
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Ammerman, B. A., Burke, T. A., Jacobucci, R., & McClure, K. (2020, April 6). Preliminary Investigation of the Association Between COVID-19 and Suicidal Thoughts and Behaviors in the U.S. https://doi.org/10.31234/osf.io/68djp
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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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Bayham, J. & Fenichel, E.P. (2020 April 3). Impact of school closures for COVID-19 on the US health-care workforce and net mortality: a modelling study. The Lancet. DOI: https://doi.org/10.1016/S2468-2667(20)30082-7.
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www.covid19healthsystem.org www.covid19healthsystem.org
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twitter.com twitter.com
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arxiv.org arxiv.org
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Lenormand, M., et al. (2020 April 3). On the importance of trip destination for modeling individual human mobility patterns. Cornell University. arXiv:2004.01435.
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www.bps.org.uk www.bps.org.uk
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Protecting the psychological wellbeing of healthcare staff during the coronavirus pandemic. (2020 March 31). British Psychological Society. https://www.bps.org.uk/news-and-policy/protecting-psychological-wellbeing-healthcare-staff-during-coronavirus-pandemic.
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www.apa.org www.apa.org
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Resource List for pandemic and COVID-19 related topics.
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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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covid19.scops.ai covid19.scops.ai
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advances.sciencemag.org advances.sciencemag.org
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Allen, J., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2020). Evaluating the fake news problem at the scale of the information ecosystem. Science Advances, 6(14), eaay3539. https://doi.org/10.1126/sciadv.aay3539.
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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
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- is:webpage
- citation
- social science
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- COVID-19
- public health
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arxiv.org arxiv.org
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Liu, D., Clemente, L., Poirier, C., Ding, X., Chinazzi, M., Davis, J. T., Vespignani, A., & Santillana, M. (2020). A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. ArXiv:2004.04019 [Cs, q-Bio, Stat]. http://arxiv.org/abs/2004.04019
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covid19-uk-mobility.github.io covid19-uk-mobility.github.io
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Wynants, L., Van Calster, B., Bonten, M. M. J., Collins, G. S., Debray, T. P. A., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G. M., Riley, R. D., Schuit, E., Smits, L. J. M., Snell, K. I. E., Steyerberg, E. W., Wallisch, C., & van Smeden, M. (2020). Prediction models for diagnosis and prognosis of covid-19 infection: Systematic review and critical appraisal. BMJ, m1328. https://doi.org/10.1136/bmj.m1328
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Newton, P. N., Bond, K. C., Adeyeye, M., Antignac, M., Ashenef, A., Awab, G. R., Babar, Z.-U.-D., Bannenberg, W. J., Bond, K. C., Bower, J., Breman, J., Brock, A., Caillet, C., Coyne, P., Day, N., Deats, M., Douidy, K., Doyle, K., Dujardin, C., … Zaman, M. (2020). COVID-19 and risks to the supply and quality of tests, drugs, and vaccines. The Lancet Global Health, S2214109X20301364. https://doi.org/10.1016/S2214-109X(20)30136-4
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