- May 2021
-
www.frontiersin.org www.frontiersin.org
-
Gu, T., Wang, L., Xie, N., Meng, X., Li, Z., Postlethwaite, A. E., Aleya, L., Howard, S., Gu, W., & Wang, Y. (2021). Towards a country-based prediction model of COVID-19 infections and deaths between disease apex and end: -Evidence from countries with contained numbers of COVID-19. Frontiers in Medicine, 8. https://doi.org/10.3389/fmed.2021.585115
-
- Dec 2020
-
-
Chandrasekhar. A. G., Goldsmith-Pinkman. P., Jackson. M. O., Thau. S., (2020) Interacting Regional Policies in Containing a Disease. Retrieved from: https://arxiv.org/abs/2008.10745
-
- Aug 2020
-
www.nber.org www.nber.org
-
Eichenbaum, M. S., Rebelo, S., & Trabandt, M. (2020). The Macroeconomics of Epidemics (Working Paper No. 26882; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26882
-
-
www.nber.org www.nber.org
-
Eichenbaum, M. S., Rebelo, S., & Trabandt, M. (2020). The Macroeconomics of Testing and Quarantining (Working Paper No. 27104; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27104
-
-
-
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.
-
-
-
Bethune, Z. A., & Korinek, A. (2020). Covid-19 Infection Externalities: Trading Off Lives vs. Livelihoods (Working Paper No. 27009; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27009
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- May 2020
-
www.nber.org www.nber.org
-
Eichenbaum, M., Rebelo, S., & Trabandt, M. (2020). The Macroeconomics of Epidemics (No. w26882; p. w26882). National Bureau of Economic Research. https://doi.org/10.3386/w26882
-
-
www.nature.com www.nature.com
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Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
Tags
- contact tracing
- transmission dynamics
- mathematics
- public health
- open data
- infection
- quarentine
- superspreading
- China
- containment measures
- forecast
- complex network
- emergency
- COVID-19
- intervention
- modeling
- computational modeling
- antibody testing
- is:article
- policy
- prediction
- challenge
- lang:en
- isolation
- pharmaceutical
- war time
- epidemiology
Annotators
URL
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- Apr 2020
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Perakslis, E. (2020). A Primer on Biodefense Data Science for Pandemic Preparedness. Patterns, 1(1), 100018. https://doi.org/10.1016/j.patter.2020.100018
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