JDS Journal of Data Science 1683-8602 1680-743X 1680-743X School of Statistics, Renmin University of China JDS994A 10.6339/21-JDS994A Discussion 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” MorrisJeffrey S.jeffrey.morris@pennmedicine.upenn.edu1∗ HuangJing1 1Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA ∗Corresponding author. Email: jeffrey.morris@pennmedicine.upenn.edu. 2021752021192197200 2021 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.2021 Open access article under the CC BY license. 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.