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Literature Review
covid-19-post-covid-19-condition-rapid-review-report-2022.pdf
How to Protect Yourself and Others _ CDC.pdf
CDC Museum COVID-19 Timeline _ David J. Sencer CDC Museum _ CDC.pdf
covid-19_stayingsafe_communication_en_0.pdf
National-Strategy-for-the-COVID-19-Response-and-Pandemic-Preparedness.pdf
https://projects.fivethirtyeight.com/covid-forecasts/
Why It’s So Freaking Hard To Make A Good COVID-19 Model https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/
https://viz.covid19forecasthub.org/
Osthus, Dave, Kyle S. Hickmann, Petruţa C. Caragea, Dave Higdon, and Sara Y. Del Valle. 2017. “Forecasting Seasonal Influenza with a State-Space SIR Model.” The Annals of Applied Statistics 11(1):202.
Wu, Joseph T., Kathy Leung, and Gabriel M. Leung. 2020. “Nowcasting and Forecasting the Potential Domestic and International Spread of the 2019-NCoV Outbreak Originating in Wuhan, China: A Modelling Study.” The Lancet 395(10225):689–97.
Modified SEIR and AI Prediction of the Epidemics Trend of COVID-19 in China under Public Health Interventions.” Journal of Thoracic Disease; Publish Ahead of Print.
Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., Munday, J. D., Kucharski, A. J., Edmunds, W. J., & Sun, F. (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. The Lancet Global Health.