JDS
Journal of Data Science
1683-8602
1680-743X
1680-743X
School of Statistics, Renmin University of China
JDS994C
10.6339/21-JDS994C
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”
XueYishu1
YangHou-Cheng2
PanYuqing3
HuGuanyuguanyu.hu@missouri.edu4∗
Department of Statistics, University of Connecticut, CT, USA
Department of Statistics, Florida State University, FL, USA
Microsoft, WA, USA
Department of Statistics, University of Missouri – Columbia, MO, USA
Corresponding author. Email: guanyu.hu@missouri.edu.
2021752021192203205
© 2021 The Author(s)2021
This is a free to read article.
References
[
Hu G, Geng J (2020). Heterogeneity learning for SIRS model: an application to the COVID-19. Statistics and Its Interface. Forthcoming.
]
[
Kermack WO, McKendrick AG (1927). A contribution to the mathematical theory of epidemics. , 115(772): 700–721.
]
[
Pan T, Shen W, Hu G (2020). Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 growth rate curves. ArXiv preprint: https://arxiv.org/abs/2008.09227.
]
[
Thomas LJ, Huang P, Yin F, Luo XI, Almquist ZW, Hipp JR, et al. (2020). Spatial heterogeneity can lead to substantial local variations in COVID-19 timing and severity. , 117(39): 24180–24187.
]
[
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.
]
[
Wang L, Zhou Y, He J, Zhu B, Wang F, Tang L, et al. (2020). An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China (with discussion). , 18(3): 409–432.
]
[
Yang HC, Xue Y, Pan Y, Liu Q, Hu G (2020). Time fused coefficient SIR model with application to COVID-19 epidemic in the United States. ArXiv preprint: https://arxiv.org/abs/2008.04284.
]