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Journal of Data Science


Discussion of “Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19”
Volume 19, Issue 2 (2021): Special issue: Continued Data Science Contributions to COVID-19 Pandemic, pp. 197–200
Pub. online: 7 May 2021      Type: Discussion      Open accessOpen Access
Published
7 May 2021

References

 
Chow CC, Chang JC, Gerkin RC, Vattikuti S (2020). Global prediction of unreported SARS-CoV2 infection from observed COVID-19 cases. MedRXiv preprint: https://doi.org/10.1101/2020.04.29.20083485.
 
Hortaçsu A, Liu J, Schwieg T (2021). Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19. Journal of Econometrics, 220(1): 106–129.
 
Rubin D, Huang J, Fisher BT (2020). Association of social distancing, population density, and temperature with the instantaneous reproduction number of SARS-CoV-2 in counties across the United States. JAMA Network Open, 3(7): e2016099.
 
Tian T, Tan J, Jiang Y, Wang X, Zhang H (2021). Evaluate the timing of resumption of business for the states of New York, New Jersey, and California via a pre-symptomatic and asymptomatic transmission model of COVID-19. Journal of Data Science, 19. In this issue.
 
Wu SL, Mertens AN, Crider YS, Nguyen A, Pokpongkiat NN, Djajadi S, et al. (2020). Substantial underestimation of SARS-CoV-2 infection in the United States. Nature Communications, 11(1): 4507.

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2021 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.
Open access article under the CC BY license.

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