- Sep 2020
-
twitter.com twitter.com
-
Pausal Živference on Twitter. (n.d.). Twitter. Retrieved September 26, 2020, from https://twitter.com/PausalZ/status/1309208611265093632
-
-
www.bbc.co.uk www.bbc.co.uk
-
BBC Radio 4—The Life Scientific, Neil Ferguson on modelling Covid-19. (n.d.). BBC. Retrieved September 26, 2020, from https://www.bbc.co.uk/programmes/m000mt0h
-
-
ideas.repec.org ideas.repec.org
-
Kubinec, Robert & Carvalho, Luiz & Barceló, Joan & Cheng, Cindy & Hartnett, Allison & Messerschmidt, Luca & Duba, Derek & Cottrell, Matthew Sean, 2020. "Partisanship and the Spread of COVID-19 in the United States," SocArXiv jp4wk, Center for Open Science. Retrieved from: https://ideas.repec.org/p/osf/socarx/jp4wk.html
-
-
science.sciencemag.org science.sciencemag.org
-
Ruktanonchai, N. W., Floyd, J. R., Lai, S., Ruktanonchai, C. W., Sadilek, A., Rente-Lourenco, P., Ben, X., Carioli, A., Gwinn, J., Steele, J. E., Prosper, O., Schneider, A., Oplinger, A., Eastham, P., & Tatem, A. J. (2020). Assessing the impact of coordinated COVID-19 exit strategies across Europe. Science, 369(6510), 1465–1470. https://doi.org/10.1126/science.abc5096
-
-
science.sciencemag.org science.sciencemag.org
-
Saad-Roy, C. M., Wagner, C. E., Baker, R. E., Morris, S. E., Farrar, J., Graham, A. L., Levin, S. A., Mina, M. J., Metcalf, C. J. E., & Grenfell, B. T. (2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science. https://doi.org/10.1126/science.abd7343
-
-
twitter.com twitter.com
-
Imperial College on Twitter. (n.d.). Twitter. Retrieved September 23, 2020, from https://twitter.com/imperialcollege/status/1307693797074178049
-
-
jamanetwork.com jamanetwork.com
-
Bilinski. A., Mostashari. F., Salomon. J. A (2020) Modeling Contact Tracing Strategies for COVID-19 in the Context of Relaxed Physical Distancing Measures. JAMMA Network. Retrieved from: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2769618?utm_source=twitter&utm_medium=social_jamajno&utm_campaign=article_alert&utm_term=jno_rss_new_online&utm_content=manual_eha
-
-
twitter.com twitter.com
-
Adam Kucharski on Twitter. (n.d.). Twitter. Retrieved September 22, 2020, from https://twitter.com/AdamJKucharski/status/1307231588732764161
-
-
www.medrxiv.org www.medrxiv.org
-
Friston, K., Costello, A., & Pillay, D. (2020). Dark matter, second waves and epidemiological modelling. MedRxiv, 2020.09.01.20185876. https://doi.org/10.1101/2020.09.01.20185876
-
-
psyarxiv.com psyarxiv.com
-
Karwowski, M., Zielinska, A., Jankowska, D., Strutynska, E., Omelanczuk, I., & Lebuda, I. (2020). Creative Lockdown? A Daily Diary Study of Creative Activity During Pandemics. 10.31234/osf.io/kvesm
-
-
www.youtube.com www.youtube.com
-
Webinar series DAY 1 - Insights into COVID-19 modelling & evidence-based policy making. Retrieved from on 21/09/2020 from https://www.youtube.com/playlist?list=PLNzrUckV9eSJAybOPMPxPulI0bciy8HXf
-
-
www.youtube.com www.youtube.com
-
Webinar series DAY 2 - Insights into COVID-19 modelling & evidence-based policy making. Retrieved on 21/09/2020 from https://www.youtube.com/playlist?list=PLNzrUckV9eSJIF41YCUaUWHOg_CTxmc99
-
-
www.imperial.ac.uk www.imperial.ac.uk
-
Report 13—Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. (n.d.). Imperial College London. Retrieved September 18, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/report-13-europe-npi-impact/
-
-
www.medrxiv.org www.medrxiv.org
-
Gardner, J. M., Willem, L., Wijngaart, W. van der, Kamerlin, S. C. L., Brusselaers, N., & Kasson, P. (2020). Intervention strategies against COVID-19 and their estimated impact on Swedish healthcare capacity. MedRxiv, 2020.04.11.20062133. https://doi.org/10.1101/2020.04.11.20062133
-
-
www.reddit.com www.reddit.com
-
r/BehSciAsk—A comprehensive compliance model? (n.d.). Reddit. Retrieved September 17, 2020, from https://www.reddit.com/r/BehSciAsk/comments/itylzl/a_comprehensive_compliance_model/
-
-
-
Is the 4C Mortality Score fit for purpose? Some comments and concerns. (2020). https://www.bmj.com/content/370/bmj.m3339/rr-3
-
-
news.northeastern.edu news.northeastern.edu
-
If rich countries monopolize COVID-19 vaccines, it could cause twice as many deaths as distributing them equally. (n.d.). Retrieved September 17, 2020, from https://news.northeastern.edu/2020/09/14/if-rich-countries-monopolize-covid-19-vaccines-it-could-cause-twice-as-many-deaths-as-distributing-them-equally/
-
-
-
Giles, J. R., Erbach-Schoenberg, E. zu, Tatem, A. J., Gardner, L., Bjørnstad, O. N., Metcalf, C. J. E., & Wesolowski, A. (2020). The duration of travel impacts the spatial dynamics of infectious diseases. Proceedings of the National Academy of Sciences, 117(36), 22572–22579. https://doi.org/10.1073/pnas.1922663117
-
-
-
Ozaita, J., Baronchelli, A., & Sánchez, A. (2020). The emergence of segregation: From observable markers to group specific norms. ArXiv:2009.05354 [Physics, q-Bio]. http://arxiv.org/abs/2009.05354
-
-
www.ons.gov.uk www.ons.gov.uk
-
Coronavirus (COVID-19) Infection Survey pilot: England and Wales, 11 September 2020. (n.d.). GOV.UK. Retrieved September 15, 2020, from https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/11september2020
Tags
Annotators
URL
-
-
academic.oup.com academic.oup.com
-
Kahn, R., Kennedy-Shaffer, L., Grad, Y. H., Robins, J. M., & Lipsitch, M. (n.d.). Potential Biases Arising from Epidemic Dynamics in Observational Seroprotection Studies. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwaa188
-
-
psyarxiv.com psyarxiv.com
-
Schnuerch, M., Nadarevic, L., & Rouder, J. (2020). The truth revisited: Bayesian analysis of individual differences in the truth effect [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/nfm6k
-
-
twitter.com twitter.com
-
Joshua Salomon on Twitter. (n.d.). Twitter. Retrieved September 7, 2020, from https://twitter.com/SalomonJA/status/1302767010367983616
-
-
covid19.healthdata.org covid19.healthdata.org
-
COVID-19. (n.d.). Retrieved September 7, 2020, from https://covid19.healthdata.org/united-states-of-america?view=total-deaths&tab=trend
-
-
www.covid-projections.com www.covid-projections.com
-
COVID Projections Tracker. (n.d.). Retrieved September 7, 2020, from https://www.covid-projections.com/
-
-
www.medrxiv.org www.medrxiv.org
-
Team, I. C.-19 F., & Hay, S. I. (2020). COVID-19 scenarios for the United States. MedRxiv, 2020.07.12.20151191. https://doi.org/10.1101/2020.07.12.20151191
-
-
www.medrxiv.org www.medrxiv.org
-
Clifford, S., Quilty, B. J., Russell, T. W., Liu, Y., Chan, Y.-W. D., Pearson, C. A. B., Eggo, R. M., Endo, A., Group, C. C.-19 W., Flasche, S., & Edmunds, W. J. (2020). Strategies to reduce the risk of SARS-CoV-2 re-introduction from international travellers. MedRxiv, 2020.07.24.20161281. https://doi.org/10.1101/2020.07.24.20161281
-
-
en.wikipedia.org en.wikipedia.org
-
Kermack–McKendrick theory. (2020). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Kermack%E2%80%93McKendrick_theory&oldid=951835485
-
-
www.springer.com www.springer.com
-
Kiss, I. Z., Miller, J., & Simon, P. L. (2017). Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer International Publishing. https://doi.org/10.1007/978-3-319-50806-1
-
-
www.theguardian.com www.theguardian.com
-
Spinney, L. (2020, May 31). Covid-19 expert Karl Friston: “Germany may have more immunological ‘dark matter.’” The Observer. https://www.theguardian.com/world/2020/may/31/covid-19-expert-karl-friston-germany-may-have-more-immunological-dark-matter
-
-
news.northeastern.edu news.northeastern.edu
-
How network science models can predict the next stages of the COVID-19 pandemic. (n.d.). Retrieved June 10, 2020, from https://news.northeastern.edu/2020/05/14/how-network-science-models-can-predict-the-next-stages-of-the-covid-19-pandemic/
Tags
- lang:en
- school
- network
- interview
- modeling
- university
- prediction
- COVID-19
- reopening
- is:news
- epidemiology
- loosening restrictions
Annotators
URL
-
-
zenodo.org zenodo.org
-
Eglen, S. J. (2020). CODECHECK certificate 2020-008. Zenodo. https://doi.org/10.5281/zenodo.3746024
-
-
-
r/BehSciAsk—Integrating Behavioural Science into Epidimiology. (n.d.). Reddit. Retrieved June 27, 2020, from https://www.reddit.com/r/BehSciAsk/comments/hg501h/integrating_behavioural_science_into_epidimiology/
-
-
-
Miyoshi, S., Jusup, M., & Holme, P. (2020). Flexible imitation mechanisms suppress epidemics through better vaccination. ArXiv:2009.00443 [Physics, q-Bio]. http://arxiv.org/abs/2009.00443
-
-
epjdatascience.springeropen.com epjdatascience.springeropen.com
-
Adelani, D. I., Kobayashi, R., Weber, I., & Grabowicz, P. A. (2020). Estimating community feedback effect on topic choice in social media with predictive modeling. EPJ Data Science, 9(1), 1–23. https://doi.org/10.1140/epjds/s13688-020-00243-w
-
-
arxiv.org arxiv.org
-
Carmona, H. A., de Noronha, A. W. T., Moreira, A. A., Araujo, N. A. M., & Andrade Jr, J. S. (2020). Cracking urban mobility. ArXiv:2008.13644 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2008.13644
-
- Aug 2020
-
www.nationalgeographic.com www.nationalgeographic.com
-
Measure the risk of airborne COVID-19 in your office, classroom, or bus ride. (2020, August 11). Science. https://www.nationalgeographic.com/science/2020/08/how-to-measure-risk-airborne-coronavirus-your-office-classroom-bus-ride-cvd/
-
-
www.thelancet.com www.thelancet.com
-
Lancet, T. (2020). Research and higher education in the time of COVID-19. The Lancet, 396(10251), 583. https://doi.org/10.1016/S0140-6736(20)31818-3
-
-
www.medrxiv.org www.medrxiv.org
-
Ray, E. L., Wattanachit, N., Niemi, J., Kanji, A. H., House, K., Cramer, E. Y., Bracher, J., Zheng, A., Yamana, T. K., Xiong, X., Woody, S., Wang, Y., Wang, L., Walraven, R. L., Tomar, V., Sherratt, K., Sheldon, D., Reiner, R. C., Prakash, B. A., … Consortium, C.-19 F. H. (2020). Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S. MedRxiv, 2020.08.19.20177493. https://doi.org/10.1101/2020.08.19.20177493
-
-
covid19forecasthub.org covid19forecasthub.org
-
Home—COVID 19 forecast hub. (n.d.). Retrieved August 28, 2020, from https://covid19forecasthub.org/
-
-
www.pnas.org www.pnas.org
-
Thurner, S., Klimek, P., & Hanel, R. (2020). A network-based explanation of why most COVID-19 infection curves are linear. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2010398117
-
-
link.aps.org link.aps.org
-
Perez, I. A., Di Muro, M. A., La Rocca, C. E., & Braunstein, L. A. (2020). Disease spreading with social distancing: A prevention strategy in disordered multiplex networks. Physical Review E, 102(2), 022310. https://doi.org/10.1103/PhysRevE.102.022310
-
-
-
Waites, W., Cavaliere, M., Manheim, D., Panovska-Griffiths, J., & Danos, V. (2020). Scaling up epidemiological models with rule-based modelling. ArXiv:2006.12077 [q-Bio]. http://arxiv.org/abs/2006.12077
-
-
www.thelancet.com www.thelancet.com
-
Hogan, A. B., Jewell, B. L., Sherrard-Smith, E., Vesga, J. F., Watson, O. J., Whittaker, C., Hamlet, A., Smith, J. A., Winskill, P., Verity, R., Baguelin, M., Lees, J. A., Whittles, L. K., Ainslie, K. E. C., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L. V., … Hallett, T. B. (2020). Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: A modelling study. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30288-6
-
-
elemental.medium.com elemental.medium.com
-
ScD, N. N. A. (2020, June 11). A Guide to Understanding Pandemic Predictions. Medium. https://elemental.medium.com/a-guide-to-understanding-pandemic-predictions-8ae3439b8224
-
-
covid-19.iza.org covid-19.iza.org
-
COVID-19 Lockdowns and Decline in Traffic Related Deaths and Injuries. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 30, 2020, from https://covid-19.iza.org/publications/dp13278/
-
-
www.nature.com www.nature.com
-
Davies, N. G., Klepac, P., Liu, Y., Prem, K., Jit, M., & Eggo, R. M. (2020). Age-dependent effects in the transmission and control of COVID-19 epidemics. Nature Medicine, 1–7. https://doi.org/10.1038/s41591-020-0962-9
-
-
osf.io osf.io
-
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
-
-
osf.io osf.io
-
Albertini, M., Sage, L., & Scherer, S. (2020). Intergenerational contacts and Covid-19 spread: Omnipresent grannies or bowling together? [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/exym8
-
-
twitter.com twitter.com
-
mike johansen on Twitter: “This paper has got some MAJOR problems. I don’t know why this paper was accepted for publication (nor submitted for publication to be frank). Let’s dive in. 1/” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/mikejohansenmd/status/1280728008643555328
-
-
osf.io osf.io
-
Jittrapirom, P., & Tanaksaranond, G. (2020). An exploratory survey on the perceived risk of COVID-19 and travelling [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/v3g5d
-
-
www.nber.org www.nber.org
-
Cronin, C. J., & Evans, W. N. (2020). Private Precaution and Public Restrictions: What Drives Social Distancing and Industry Foot Traffic in the COVID-19 Era? (Working Paper No. 27531; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27531
-
-
www.nature.com www.nature.com
-
Menni, C., Valdes, A. M., Freidin, M. B., Sudre, C. H., Nguyen, L. H., Drew, D. A., ... & Visconti, A. (2020). Real-time tracking of self-reported symptoms to predict potential COVID-19. Nature Medicine, 1-4.
-
-
royalsocietypublishing.org royalsocietypublishing.org
-
Stutt, R. O. J. H., Retkute, R., Bradley, M., Gilligan, C. A., & Colvin, J. (2020). A modelling framework to assess the likely effectiveness of facemasks in combination with ‘lock-down’ in managing the COVID-19 pandemic. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 476(2238), 20200376. https://doi.org/10.1098/rspa.2020.0376
-
-
link.aps.org link.aps.org
-
Velásquez-Rojas, F., Ventura, P. C., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102(2), 022312. https://doi.org/10.1103/PhysRevE.102.022312
-
-
www.nytimes.com www.nytimes.com
-
Mandavilli, A. (2020, August 17). What if ‘Herd Immunity’ Is Closer Than Scientists Thought? The New York Times. https://www.nytimes.com/2020/08/17/health/coronavirus-herd-immunity.html
-
-
www.biorxiv.org www.biorxiv.org
-
Salahudeen, A. A., Choi, S. S., Rustagi, A., Zhu, J., O, S. M. de la, Flynn, R. A., Margalef-Català, M., Santos, A. J. M., Ju, J., Batish, A., Unen, V. van, Usui, T., Zheng, G. X. Y., Edwards, C. E., Wagar, L. E., Luca, V., Anchang, B., Nagendran, M., Nguyen, K., … Kuo, C. J. (2020). Progenitor identification and SARS-CoV-2 infection in long-term human distal lung organoid cultures. BioRxiv, 2020.07.27.212076. https://doi.org/10.1101/2020.07.27.212076
-
-
papers.ssrn.com papers.ssrn.com
-
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
-
-
-
Carey, B., & Glanz, J. (2020, July 30). Aboard the Diamond Princess, a Case Study in Aerosol Transmission. The New York Times. https://www.nytimes.com/2020/07/30/health/diamond-princess-coronavirus-aerosol.html
-
-
www.nature.com www.nature.com
-
Sherrard-Smith, E., Hogan, A. B., Hamlet, A., Watson, O. J., Whittaker, C., Winskill, P., Ali, F., Mohammad, A. B., Uhomoibhi, P., Maikore, I., Ogbulafor, N., Nikau, J., Kont, M. D., Challenger, J. D., Verity, R., Lambert, B., Cairns, M., Rao, B., Baguelin, M., … Churcher, T. S. (2020). The potential public health consequences of COVID-19 on malaria in Africa. Nature Medicine, 1–6. https://doi.org/10.1038/s41591-020-1025-y
-
-
-
Laghaie, A., & Otter, T. (2020). Measuring evidence for mediation in the presence of measurement error [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5bz3f
-
-
arxiv.org arxiv.org
-
Ran, Y., Deng, X., Wang, X., & Jia, T. (2020). A generalized linear threshold model for an improved description of the spreading dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(8), 083127. https://doi.org/10.1063/5.0011658
-
-
www.nber.org www.nber.org
-
Gregory, V., Menzio, G., & Wiczer, D. G. (2020). Pandemic Recession: L or V-Shaped? (Working Paper No. 27105; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27105
-
-
www.nber.org www.nber.org
-
Bisin, A., & Moro, A. (2020). Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (Working Paper No. 27590; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27590
-
-
psyarxiv.com psyarxiv.com
-
Pierre, J. (2020). Mistrust and Misinformation: A Two-Component, Socio-Epistemic Model of Belief in Conspiracy Theories [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/xhw52
-
-
goodjudgment.io goodjudgment.io
-
COVID Recovery Dashboard. Retrieved from https://goodjudgment.io/covid-recovery/#1363 on 12/08/2020
-
-
www.nber.org www.nber.org
-
Bigio, S., Zhang, M., & Zilberman, E. (2020). Transfers vs Credit Policy: Macroeconomic Policy Trade-offs during Covid-19 (Working Paper No. 27118; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27118
-
-
www.nber.org www.nber.org
-
Alon, T., Kim, M., Lagakos, D., & VanVuren, M. (2020). How Should Policy Responses to the COVID-19 Pandemic Differ in the Developing World? (Working Paper No. 27273; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27273
-
-
www.nber.org www.nber.org
-
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
-
-
www.nber.org www.nber.org
-
Avery, C., Bossert, W., Clark, A., Ellison, G., & Ellison, S. F. (2020). Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists (Working Paper No. 27007; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27007
-
-
www.nber.org www.nber.org
-
Aum, S., Lee, S. Y. (Tim), & Shin, Y. (2020). Inequality of Fear and Self-Quarantine: Is There a Trade-off between GDP and Public Health? (Working Paper No. 27100; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27100
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Collins, G. S., & Wilkinson, J. (n.d.). Statistical issues in the development a COVID-19 prediction models. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.26390
-
-
www.medrxiv.org www.medrxiv.org
-
Aguas, R., Corder, R. M., King, J. G., Goncalves, G., Ferreira, M. U., & Gomes, M. G. M. (2020). Herd immunity thresholds for SARS-CoV-2 estimated from unfolding epidemics. MedRxiv, 2020.07.23.20160762. https://doi.org/10.1101/2020.07.23.20160762
-
-
covid-19.iza.org covid-19.iza.org
-
Should Contact Bans Be Lifted in Germany? A Quantitative Prediction of Its Effects. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 8, 2020, from https://covid-19.iza.org/publications/dp13151/
-
-
covid-19.iza.org covid-19.iza.org
-
Modelling the Distributional Impact of the COVID-19 Crisis. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13235/
-
-
covid-19.iza.org covid-19.iza.org
-
An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13265/
-
-
covid-19.iza.org covid-19.iza.org
-
Work That Can Be Done from Home: Evidence on Variation within and across Occupations and Industries. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13374/
-
-
covid-19.iza.org covid-19.iza.org
-
The Lockdown Impact on Unemployment for Heterogeneous Workers. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 30, 2020, from https://covid-19.iza.org/publications/dp13439/
-
-
covid-19.iza.org covid-19.iza.org
-
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13480/
-
-
covid-19.iza.org covid-19.iza.org
-
Does BMI Predict the Early Spatial Variation and Intensity of COVID-19 in Developing Countries? Evidence from India. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13444/
-
-
academic.oup.com academic.oup.com
-
Lavoie, K. (2019). Applying behavioural science to improve physicians’ ability to help people improve their own health behaviours. European Journal of Public Health, 29(Supplement_4). https://doi.org/10.1093/eurpub/ckz185.812
-
-
journals.plos.org journals.plos.org
-
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
-
-
-
Radicchi, F., & Bianconi, G. (2020). Epidemic plateau in critical SIR dynamics with non-trivial initial conditions. ArXiv:2007.15034 [Cond-Mat, Physics:Physics, q-Bio]. http://arxiv.org/abs/2007.15034
-
-
www.bbc.co.uk www.bbc.co.uk
-
BBC Radio 4—The Political School, Episode 1. (n.d.). BBC. Retrieved August 2, 2020, from https://www.bbc.co.uk/programmes/m000kv6v
-
-
-
Aguilar, J., Bassolas, A., Ghoshal, G., Hazarie, S., Kirkley, A., Mazzoli, M., Meloni, S., Mimar, S., Nicosia, V., Ramasco, J. J., & Sadilek, A. (2020). Impact of urban structure on COVID-19 spread. ArXiv:2007.15367 [Physics, q-Bio]. http://arxiv.org/abs/2007.15367
-
-
www.nber.org www.nber.org
-
Glover, A., Heathcote, J., Krueger, D., & Ríos-Rull, J.-V. (2020). Health versus Wealth: On the Distributional Effects of Controlling a Pandemic (Working Paper No. 27046; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27046
-
-
-
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
-
- Jul 2020
-
www.nber.org www.nber.org
-
Chudik, A., Pesaran, M. H., & Rebucci, A. (2020). Voluntary and Mandatory Social Distancing: Evidence on COVID-19 Exposure Rates from Chinese Provinces and Selected Countries (Working Paper No. 27039; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27039
-
-
www.nber.org www.nber.org
-
Atkeson, A., Kopecky, K., & Zha, T. (2020). Estimating and Forecasting Disease Scenarios for COVID-19 with an SIR Model (Working Paper No. 27335; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27335
-
-
www.nber.org www.nber.org
-
Fernández-Villaverde, J., & Jones, C. I. (2020). Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities (Working Paper No. 27128; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27128
-
-
www.nber.org www.nber.org
-
Arellano, C., Bai, Y., & Mihalache, G. P. (2020). Deadly Debt Crises: COVID-19 in Emerging Markets (Working Paper No. 27275; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27275
-
-
-
He, Z., Nagel, S., & Song, Z. (2020). Treasury Inconvenience Yields during the COVID-19 Crisis (Working Paper No. 27416; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27416
-
-
-
Ellison, G. (2020). Implications of Heterogeneous SIR Models for Analyses of COVID-19 (Working Paper No. 27373; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27373
-
-
www.nber.org www.nber.org
-
Liu, L., Moon, H. R., & Schorfheide, F. (2020). Panel Forecasts of Country-Level Covid-19 Infections (Working Paper No. 27248; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27248
-
-
-
Pindyck, R. S. (2020). COVID-19 and the Welfare Effects of Reducing Contagion (Working Paper No. 27121; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27121
-
-
www.nber.org www.nber.org
-
Bursztyn, L., Rao, A., Roth, C. P., & Yanagizawa-Drott, D. H. (2020). Misinformation During a Pandemic (Working Paper No. 27417; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27417
-
-
www.youtube.com www.youtube.com
-
MCLS Virtual Brown Bag June 12, 2020: Bayesian Modelling. (2020, June 15). https://www.youtube.com/watch?v=7LLZPNLhn5o
-
-
journals.plos.org journals.plos.org
-
Lenzen, M., Li, M., Malik, A., Pomponi, F., Sun, Y.-Y., Wiedmann, T., Faturay, F., Fry, J., Gallego, B., Geschke, A., Gómez-Paredes, J., Kanemoto, K., Kenway, S., Nansai, K., Prokopenko, M., Wakiyama, T., Wang, Y., & Yousefzadeh, M. (2020). Global socio-economic losses and environmental gains from the Coronavirus pandemic. PLOS ONE, 15(7), e0235654. https://doi.org/10.1371/journal.pone.0235654
-
-
www.sciencedirect.com www.sciencedirect.com
-
Sun, J., Zhuang, Z., Zheng, J., Li, K., Wong, R. L.-Y., Liu, D., Huang, J., He, J., Zhu, A., Zhao, J., Li, X., Xi, Y., Chen, R., Alshukairi, A. N., Chen, Z., Zhang, Z., Chen, C., Huang, X., Li, F., … Zhao, J. (2020). Generation of a Broadly Useful Model for COVID-19 Pathogenesis, Vaccination, and Treatment. Cell. https://doi.org/10.1016/j.cell.2020.06.010
-
-
-
Martin, G., Hanna, E., & Dingwall, R. (2020). Face masks for the public during Covid-19: An appeal for caution in policy [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/uyzxe
-
-
-
Vachuska, K. F. (2020). Considering Elite Network Patterns in Application to Infectious Disease Spread [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/2r9mu
-
-
osf.io osf.io
-
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
-
-
science.sciencemag.org science.sciencemag.org
-
Barton, C. M., Alberti, M., Ames, D., Atkinson, J.-A., Bales, J., Burke, E., Chen, M., Diallo, S. Y., Earn, D. J. D., Fath, B., Feng, Z., Gibbons, C., Hammond, R., Heffernan, J., Houser, H., Hovmand, P. S., Kopainsky, B., Mabry, P. L., Mair, C., … Tucker, G. (2020). Call for transparency of COVID-19 models. Science, 368(6490), 482.2-483. https://doi.org/10.1126/science.abb8637
-
-
osf.io osf.io
-
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
-
-
osf.io osf.io
-
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
-
-
osf.io osf.io
-
Payne, J. L., Morgan, A., & Piquero, A. R. (2020). COVID-19 and Social Distancing Measures in Queensland Australia Are Associated with Short-Term Decreases in Recorded Violent Crime [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/z4m8t
-
-
-
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
-
-
arxiv.org arxiv.org
-
Bizzarri, M., Panebianco, F., & Pin, P. (2020). Is segregating anti-vaxxers a good idea? ArXiv:2007.08523 [Physics, q-Bio, q-Fin]. http://arxiv.org/abs/2007.08523
-
-
www.medrxiv.org www.medrxiv.org
-
Fonseca, S. C., Rivas, I., Romaguera, D., Quijal-Zamorano, M., Czarlewski, W., Vidal, A., Fonseca, J. A., Ballester, J., Anto, J. M., Basagana, X., Cunha, L. M., & Bousquet, J. (2020). Association between consumption of vegetables and COVID-19 mortality at a country level in Europe. MedRxiv, 2020.07.17.20155846. https://doi.org/10.1101/2020.07.17.20155846
-
-
osf.io osf.io
-
Kulu, H., & Dorey, P. (2020). Infection Rates from Covid-19 in Great Britain by Geographical Units: A Model-based Estimation from Mortality Data [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/84f3e
-
-
-
Fitzgerald, R. M. (2020). WAKING TO NORMAL: Examining Archival Appraisal in Data-driven Society [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/2befk
-
-
osf.io osf.io
-
Schraff, D. (2020). Political trust during the Covid-19 pandemic: Rally around the flag or lockdown effects? [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/pu47c
-
-
psyarxiv.com psyarxiv.com
-
Webster, G. D., Mahar, E., & Wongsomboon, V. (2020). American Psychology Is Becoming More International, But Too Slowly: Comment on Thalmayer et al. (2020). https://doi.org/10.31234/osf.io/wqmer Ame
-
-
psyarxiv.com psyarxiv.com
-
McKinley, L., McAnally, K., Moyers, S. A., & Hagger, M. S. (2020). Behavioral Health Theories, Equity, and Disparities in Global Health: A Basic Process Model. https://doi.org/10.31234/osf.io/nybv8
-
-
www.youtube.com www.youtube.com
-
John Cochrane on COVID 19 and re-opening the economy. (n.d.). Retrieved June 14, 2020, from https://www.youtube.com/watch?v=H6sSvqD9Xsw
-
-
www.youtube.com www.youtube.com
-
Q&A: Modelling COVID-19. (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=HUKC8Wq2a0k
-
-
www.youtube.com www.youtube.com
-
Modelling the Spread of the Virus. (n.d.). Retrieved June 20, 2020, from https://www.youtube.com/watch?v=H0smYXTa31g&feature=youtu.be
-
-
www.youtube.com www.youtube.com
-
Net-COVID Session3A: Human mobility and control measures in the COVID-19 epidemic by Sam Scarpino. (n.d.). Retrieved June 14, 2020, from https://www.youtube.com/watch?v=BrrGxJT6-iA
-
-
osf.io osf.io
-
Weeden, K. A., & Cornwell, B. (2020). The Small World Network of College Classes: Implications for Epidemic Spread on a University Campus [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/n5gw4
-
-
osf.io osf.io
-
Weed, M. (2020). Models and methods to analyse the interaction of evidence and policy in the first 100 days of the UK government’s response to COVID-19 (v1.1). https://doi.org/10.31235/osf.io/f73u4
-
-
-
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
-
-
projecteuclid.org projecteuclid.org
-
Shmueli, G. (2010). To Explain or to Predict? Statistical Science, 25(3), 289–310.
-
-
www.youtube.com www.youtube.com
-
Net-COVID Session2A: Network Epidemiology Tutorial by YY Ahn. (2020, April 16). https://www.youtube.com/watch?v=8XHBYdHBhDI&list=PLVWaQYnj_BZVQal-KQ0rf8CcZJPIhpuO3&index=2
Tags
Annotators
URL
-
-
www.youtube.com www.youtube.com
-
Net-COVID Session4A: Math Models of Epidemic Spreading in the Time of COVID-19 by Ginestra Bianconi. (2020, May 1). https://www.youtube.com/watch?v=vZ2Ezsffkqs&list=PLVWaQYnj_BZVQal-KQ0rf8CcZJPIhpuO3&index=4
-
-
www.medrxiv.org www.medrxiv.org
-
Davis, J. T., Chinazzi, M., Perra, N., Mu, K., Piontti, A. P. y, Ajelli, M., Dean, N. E., Gioannini, C., Litvinova, M., Merler, S., Rossi, L., Sun, K., Xiong, X., Halloran, M. E., Longini, I. M., Viboud, C., & Vespignani, A. (2020). Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA. MedRxiv, 2020.07.06.20140285. https://doi.org/10.1101/2020.07.06.20140285
-
-
science.sciencemag.org science.sciencemag.org
-
Haushofer, J., & Metcalf, C. J. E. (2020). Which interventions work best in a pandemic? Science. https://doi.org/10.1126/science.abb6144
-
-
arxiv.org arxiv.org
-
Allard, A., Moore, C., Scarpino, S. V., Althouse, B. M., & Hébert-Dufresne, L. (2020). The role of directionality, heterogeneity and correlations in epidemic risk and spread. ArXiv:2005.11283 [Physics, q-Bio]. http://arxiv.org/abs/2005.11283
-
-
-
Mann, P., Smith, V. A., Mitchell, J. B. O., & Dobson, S. (2020). Two-pathogen model with competition on clustered networks. ArXiv:2007.03287 [Physics, q-Bio]. http://arxiv.org/abs/2007.03287
-
-
arxiv.org arxiv.org
-
McQuillan, L., McAweeney, E., Bargar, A., & Ruch, A. (2020). Cultural Convergence: Insights into the behavior of misinformation networks on Twitter. ArXiv:2007.03443 [Physics]. http://arxiv.org/abs/2007.03443
-
-
-
Coggon, D., Croft, P., Cullinan, P., & Williams, A. (2020). ASSESSMENT OF WORKERS PERSONAL VULNERABILITY TO COVID-19 USING COVID-AGE. MedRxiv, 2020.05.21.20108969. https://doi.org/10.1101/2020.05.21.20108969
-
-
link.aps.org link.aps.org
-
Sayama, H. (2020). Enhanced ability of information gathering may intensify disagreement among groups. Physical Review E, 102(1), 012303. https://doi.org/10.1103/PhysRevE.102.012303
-
-
www.sciencedirect.com www.sciencedirect.com
-
Fontana, M., Iori, M., Montobbio, F., & Sinatra, R. (2020). New and atypical combinations: An assessment of novelty and interdisciplinarity. Research Policy, 49(7), 104063. https://doi.org/10.1016/j.respol.2020.104063
-
-
www.bmj.com www.bmj.com
-
Loder, E. (2020). Getting it right in the pandemic. BMJ, 370. https://doi.org/10.1136/bmj.m2637
-
-
aip.scitation.org aip.scitation.org
-
Coronavirus cases may be linked to brain complications, study finds. (n.d.). Thetowntalk. Retrieved July 5, 2020, from https://www.usatoday.com/story/news/health/2020/06/27/coronavirus-cases-may-linked-brain-complications-study-finds/3270615001/
-
-
www.jclinepi.com www.jclinepi.com
-
Sperrin, M., Martin, G. P., Sisk, R., & Peek, N. (2020). Missing data should be handled differently for prediction than for description or causal explanation. Journal of Clinical Epidemiology, 0(0). https://doi.org/10.1016/j.jclinepi.2020.03.028
-
-
jasp-stats.org jasp-stats.org
-
Introducing JASP 0.13. (2020, July 2). JASP - Free and User-Friendly Statistical Software. https://jasp-stats.org/?p=6483
-
-
-
Di Lauro, F., Croix, J.-C., Berthouze, L., & Kiss, I. (2020). PDE-limits of stochastic SIS epidemics on networks. ArXiv:2007.01043 [Physics, q-Bio]. http://arxiv.org/abs/2007.01043
-
-
assets.publishing.service.gov.uk assets.publishing.service.gov.uk
-
arxiv.org arxiv.org
-
Lovato, J., Allard, A., Harp, R., & Hébert-Dufresne, L. (2020). Distributed consent and its impact on privacy and observability in social networks. ArXiv:2006.16140 [Physics]. http://arxiv.org/abs/2006.16140
-
-
twitter.com twitter.com
-
William Waites on Twitter: “(1/n) A rule-based experiment of coupling a social decision-making model with an infectious disease model to explore mask wearing. A thread. (H/T @davidmanheim @vee3my) #epitwitter #MaskUp #COVID19 https://t.co/ZxiyLAhxVn” / Twitter. (n.d.). Twitter. Retrieved July 1, 2020, from https://twitter.com/ve3hw/status/1277166708575424513
-
-
covidtti.com covidtti.com
-
KaSim in browser. (n.d.). Retrieved July 1, 2020, from https://covidtti.com/kasim/?model=https%3A//raw.githubusercontent.com/ptti/rule-based-models/master/models/masks.ka
-
- Jun 2020
-
www.newscientist.com www.newscientist.comR number1
-
Vaughan, A. (n.d.). R number. New Scientist. Retrieved June 29, 2020, from https://www.newscientist.com/term/r-number/
-
-
twitter.com twitter.com
-
A Marm Kilpatrick on Twitter: “What is #herdimmunity threshold for #COVID19? A topic of much discussion due to large uncertainty & huge consequences for long term impact. New paper illustrates 1 key aspect that can reduce it substantially (spoiler: we still don’t know value). Thread. https://t.co/Sgrg1yrlOq” / Twitter. (n.d.). Twitter. Retrieved June 27, 2020, from https://twitter.com/diseaseecology/status/1275595167936868352
-
-
arxiv.org arxiv.org
-
Altmann, E. G. (2020). Spatial interactions in urban scaling laws. ArXiv:2006.14140 [Physics]. http://arxiv.org/abs/2006.14140
-
-
-
Zhang, L., & Peixoto, T. P. (2020). Statistical inference of assortative community structures. ArXiv:2006.14493 [Cond-Mat, Physics:Physics, Stat]. http://arxiv.org/abs/2006.14493
-
-
psyarxiv.com psyarxiv.com
-
Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt
-
-
www.nature.com www.nature.com
-
Saltelli, A., Bammer, G., Bruno, I., Charters, E., Di Fiore, M., Didier, E., Nelson Espeland, W., Kay, J., Lo Piano, S., Mayo, D., Pielke Jr, R., Portaluri, T., Porter, T. M., Puy, A., Rafols, I., Ravetz, J. R., Reinert, E., Sarewitz, D., Stark, P. B., … Vineis, P. (2020). Five ways to ensure that models serve society: A manifesto. Nature, 582(7813), 482–484. https://doi.org/10.1038/d41586-020-01812-9
-
-
psyarxiv.com psyarxiv.com
-
Maier, M., Bartoš, F., & Wagenmakers, E.-J. (2020). Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/u4cns
-
-
science.sciencemag.org science.sciencemag.org
-
Britton, T., Ball, F., & Trapman, P. (2020). A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2. Science. https://doi.org/10.1126/science.abc6810
-
-
www.researchgate.net www.researchgate.net
-
Sharma, N., Uttrani, S., & Dutt, V. (2020, June 19). Modeling the Absence of Framing Effect in an Experience-based Covid-19 Disease Problem. 18th Annual Meeting of the International Conference on Cognitive Modelling. https://www.researchgate.net/publication/342313460_Modeling_the_Absence_of_Framing_Effect_in_an_Experience-based_Covid-19_Disease_Problem
-
-
www.thelancet.com www.thelancet.com
-
Health, T. L. G. (2020). Publishing in the time of COVID-19. The Lancet Global Health, 8(7), e860. https://doi.org/10.1016/S2214-109X(20)30260-6
-
-
www.thelancet.com www.thelancet.com
-
Leung, K., Wu, J. T., Liu, D., & Leung, G. M. (2020). First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: A modelling impact assessment. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30746-7
-
-
spiral.imperial.ac.uk spiral.imperial.ac.uk
-
Ferguson, N., Laydon, D., Nedjati Gilani, G., Imai, N., Ainslie, K., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunuba Perez, Z., Cuomo-Dannenburg, G., Dighe, A., Dorigatti, I., Fu, H., Gaythorpe, K., Green, W., Hamlet, A., Hinsley, W., Okell, L., Van Elsland, S., … Ghani, A. (2020). Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. Imperial College London. https://doi.org/10.25561/77482
-
Ferguson, N., Laydon, D., Nedjati Gilani, G., Imai, N., Ainslie, K., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunuba Perez, Z., Cuomo-Dannenburg, G., Dighe, A., Dorigatti, I., Fu, H., Gaythorpe, K., Green, W., Hamlet, A., Hinsley, W., Okell, L., Van Elsland, S., … Ghani, A. (2020). Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. In 20 [Report]. https://doi.org/10.25561/77482
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Lally, P., van Jaarsveld, C. H. M., Potts, H. W. W., & Wardle, J. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40(6), 998–1009. https://doi.org/10.1002/ejsp.674
-
-
arxiv.org arxiv.org
-
Maier, B. F., & Brockmann, D. (2020). Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China. Science, 368(6492), 742–746. https://doi.org/10.1126/science.abb4557
-
-
covid19.gleamproject.org covid19.gleamproject.org
-
Gleam Project | COVID-19 Mobility USA
-
-
-
DaveLagnado on Reddit
-
-
www.theatlantic.com www.theatlantic.com
-
Tufekci, Z. (2020, April 2). Don’t Believe the COVID-19 Models. The Atlantic. https://www.theatlantic.com/technology/archive/2020/04/coronavirus-models-arent-supposed-be-right/609271/
-
-
www.thelancet.com www.thelancet.com
-
Kucharski, A. J., Klepac, P., Conlan, A. J. K., Kissler, S. M., Tang, M. L., Fry, H., Gog, J. R., Edmunds, W. J., Emery, J. C., Medley, G., Munday, J. D., Russell, T. W., Leclerc, Q. J., Diamond, C., Procter, S. R., Gimma, A., Sun, F. Y., Gibbs, H. P., Rosello, A., … Simons, D. (2020). Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: A mathematical modelling study. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30457-6
-
-
www.thelancet.com www.thelancet.com
-
Clark, A., Jit, M., Warren-Gash, C., Guthrie, B., Wang, H. H. X., Mercer, S. W., Sanderson, C., McKee, M., Troeger, C., Ong, K. L., Checchi, F., Perel, P., Joseph, S., Gibbs, H. P., Banerjee, A., Eggo, R. M., Nightingale, E. S., O’Reilly, K., Jombart, T., … Jarvis, C. I. (2020). Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: A modelling study. The Lancet Global Health, S2214109X20302643. https://doi.org/10.1016/S2214-109X(20)30264-3
-
-
www.r-bloggers.com www.r-bloggers.com
-
Dablander, F. (2020, June 11). Interactive exploration of COVID-19 exit strategies. R-Bloggers. https://www.r-bloggers.com/interactive-exploration-of-covid-19-exit-strategies/
-
-
royalsociety.org royalsociety.org
-
Rapid Assistance in Modelling the Pandemic: RAMP | Royal Society. (n.d.). Retrieved June 14, 2020, from https://royalsociety.org/topics-policy/Health-and-wellbeing/ramp/
-
-
-
Scientific Pandemic Influenza Group on Modelling (SPI-M). (n.d.). GOV.UK. Retrieved June 14, 2020, from https://www.gov.uk/government/groups/scientific-pandemic-influenza-subgroup-on-modelling
-
-
rviews.rstudio.com rviews.rstudio.com
-
Views, R. (2020, May 20). An R View into Epidemiology. /2020/05/20/some-r-resources-for-epidemiology/
-
-
-
Gencoglu, O., & Gruber, M. (2020). Causal Modeling of Twitter Activity During COVID-19. ArXiv:2005.07952 [Cs]. http://arxiv.org/abs/2005.07952
-
-
arxiv.org arxiv.org
-
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
-
-
psyarxiv.com psyarxiv.com
-
Westrupp, E., Greenwood, C., Fuller-Tyszkiewicz, M., Berkowitz, T., Hagg, L., & Youssef, G. J. (2020). Text Mining of Reddit Posts: Using Latent Dirichlet Allocation to Identify Common Parenting Issues [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/cw54u
-
-
www.sciencefocus.com www.sciencefocus.com
-
Coronavirus: Reducing distance to one metre increases transmission risk. (n.d.). BBC Science Focus Magazine. Retrieved June 12, 2020, from https://www.sciencefocus.com/news/coronavirus-reducing-distance-to-one-metre-increases-transmission-risk/
-
-
journals.sagepub.com journals.sagepub.com
-
Maltby, J., Hunt, S. A., Ohinata, A., Palmer, E., & Conroy, S. (2020). Frailty and Social Isolation: Comparing the Relationship between Frailty and Unidimensional and Multifactorial Models of Social Isolation: Journal of Aging and Health. https://doi.org/10.1177/0898264320923245
-
-
www.acpjournals.org www.acpjournals.org
-
Tuite, A. R., Greer, A. L., De Keninck, S., & Fisman, D. N. (2020). Risk for COVID-19 Resurgence Related to Duration and Effectiveness of Physical Distancing in Ontario, Canada. Annals of Internal Medicine. https://doi.org/10.7326/M20-2945
-
-
www.nature.com www.nature.com
-
McAvoy, A., Allen, B., & Nowak, M. A. (2020). Social goods dilemmas in heterogeneous societies. Nature Human Behaviour, 1–13. https://doi.org/10.1038/s41562-020-0881-2
-
-
-
Murphy, C., Laurence, E., & Allard, A. (2020). Deep learning of stochastic contagion dynamics on complex networks. ArXiv:2006.05410 [Cond-Mat, Physics:Physics, Stat]. http://arxiv.org/abs/2006.05410
-
-
-
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
-
-
academic.oup.com academic.oup.com
-
Marshall, B. D. L., & Galea, S. (2015). Formalizing the Role of Agent-Based Modeling in Causal Inference and Epidemiology. American Journal of Epidemiology, 181(2), 92–99. https://doi.org/10.1093/aje/kwu274
-
-
sites.google.com sites.google.com
-
Net-COVID. (n.d.). Retrieved June 10, 2020, from https://sites.google.com/umd.edu/net-covid/home
-
-
www.springer.com www.springer.com
-
Journal of Computational Social Science. Springer. Retrieved June 10, 2020, from https://www.springer.com/journal/42001/updates/17993070
-
-
www.sciencedirect.com www.sciencedirect.com
-
Infurna, F. J., & Luthar, S. S. (2018). Re-evaluating the notion that resilience is commonplace: A review and distillation of directions for future research, practice, and policy. Clinical Psychology Review, 65, 43–56. https://doi.org/10.1016/j.cpr.2018.07.003
-
-
www.nature.com www.nature.com
-
Chawla, D. S. (2020). Critiqued coronavirus simulation gets thumbs up from code-checking efforts. Nature. https://doi.org/10.1038/d41586-020-01685-y
-
-
-
Cinus, F., Bonchi, F., Monti, C., & Panisson, A. (2020). Generating Realistic Interest-Driven Information Cascades. Proceedings of the International AAAI Conference on Web and Social Media, 14, 107–118.
-
-
fivethirtyeight.com fivethirtyeight.com
-
Koerth, M. (2020, March 31). Why It’s So Freaking Hard To Make A Good COVID-19 Model. FiveThirtyEight. https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/
-
-
-
Tann, W. J.-W., Chang, E.-C., & Hooi, B. (2020). SHADOWCAST: Controlling Network Properties to Explain Graph Generation. ArXiv:2006.03774 [Cs, Stat]. http://arxiv.org/abs/2006.03774
-
-
-
Bravo-Hermsdorff, G., Felso, V., Ray, E., Gunderson, L. M., Helander, M. E., Maria, J., & Niv, Y. (2019). Gender and collaboration patterns in a temporal scientific authorship network. Applied Network Science, 4(1), 112. https://doi.org/10.1007/s41109-019-0214-4
-
-
-
Wise, J. (2020). Covid-19: Surveys indicate low infection level in community. BMJ, m1992. https://doi.org/10.1136/bmj.m1992
-
-
royalsocietypublishing.org royalsocietypublishing.org
-
Ngo, S.-C., Percus, A. G., Burghardt, K., & Lerman, K. (2020). The transsortative structure of networks. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 476(2237), 20190772. https://doi.org/10.1098/rspa.2019.0772
-
-
arxiv.org arxiv.org
-
Cai, L., Chen, Z., Luo, C., Gui, J., Ni, J., Li, D., & Chen, H. (2020). Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. ArXiv:2005.07427 [Cs, Stat]. http://arxiv.org/abs/2005.07427
-
-
twitter.com twitter.com
-
Angner, E. (2020, May 11). "Terrific assessment of projections of demand for Swedish ICU beds. The first two panels are model-based projections by academics; the third is a simple extrapolation by the public-health authority; the fourth is the actual outcome /1." Twitter. https://twitter.com/SciBeh/status/1260121561861939200
-
-
psycnet.apa.org psycnet.apa.org
-
Attali, Y., Budescu, D., & Arieli-Attali, M. (2020). An item response approach to calibration of confidence judgments. Decision, 7(1), 1–19. https://doi.org/10.1037/dec0000111
-
-
psycnet.apa.org psycnet.apa.org
-
Winman, A., Hansson, P., & Juslin, P. (2004). Subjective Probability Intervals: How to Reduce Overconfidence by Interval Evaluation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(6), 1167–1175. https://doi.org/10.1037/0278-7393.30.6.1167
-
-
psycnet.apa.org psycnet.apa.org
-
Erev, I., Wallsten, T. S., & Budescu, D. V. (1994). Simultaneous over- and underconfidence: The role of error in judgment processes. Psychological Review, 101(3), 519–527. https://doi.org/10.1037/0033-295X.101.3.519
-
-
philbull.wordpress.com philbull.wordpress.com
-
Bull, P. (2020, May 10). Why you can ignore reviews of scientific code by commercial software developers. Lumps “n” Bumps. https://philbull.wordpress.com/2020/05/10/why-you-can-ignore-reviews-of-scientific-code-by-commercial-software-developers/
-
-
www.theguardian.com www.theguardian.com
-
Ward, B. (2020, May 6). It’s not just Neil Ferguson – scientists are being attacked for telling the truth | Bob Ward. The Guardian. https://www.theguardian.com/commentisfree/2020/may/06/neil-ferguson-scientists-media-government-adviser-social-distancing
-
-
arxiv.org arxiv.org
-
Friston, K. J., Parr, T., Zeidman, P., Razi, A., Flandin, G., Daunizeau, J., Hulme, O. J., Billig, A. J., Litvak, V., Moran, R. J., Price, C. J., & Lambert, C. (2020). Dynamic causal modelling of COVID-19. ArXiv:2004.04463 [q-Bio]. http://arxiv.org/abs/2004.04463
-
-
arxiv.org arxiv.org
-
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
-
-
arxiv.org arxiv.org
-
link.springer.com link.springer.com
-
Stokes, D. C., Andy, A., Guntuku, S. C., Ungar, L. H., & Merchant, R. M. (2020). Public Priorities and Concerns Regarding COVID-19 in an Online Discussion Forum: Longitudinal Topic Modeling. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-020-05889-w
-
-
-
Velásquez-Rojas, F., da Silva, P. C. V., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. ArXiv:2006.01965 [Physics]. http://arxiv.org/abs/2006.01965
-
-
www.thelancet.com www.thelancet.com
-
Bauch, C. T., & Anand, M. (2020). COVID-19: When should quarantine be enforced? The Lancet Infectious Diseases, S147330992030428X. https://doi.org/10.1016/S1473-3099(20)30428-X
-
-
www.telegraph.co.uk www.telegraph.co.uk
-
Donnelly, L. (2020, May 20). Earlier lockdown could have prevented three-quarters of UK coronavirus deaths, modelling suggests. The Telegraph. https://www.telegraph.co.uk/news/2020/05/20/earlier-lockdown-could-have-prevented-three-quarters-uk-coronavirus/
-
-
arxiv.org arxiv.org
-
Poiitis, M., Vakali, A., & Kourtellis, N. (2020). On the Aggression Diffusion Modeling and Minimization in Online Social Networks. ArXiv:2005.10646 [Physics]. http://arxiv.org/abs/2005.10646
-