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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. 206–209
Shan Yu   Guannan Wang   Li Wang  

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https://doi.org/10.6339/21-JDS994D
Pub. online: 7 May 2021      Type: Discussion      Open accessOpen Access

Published
7 May 2021

References

 
Badr HS, Du H, Marshall M, Dong E, Squire MM, Gardner LM (2020). Association between mobility patterns and COVID-19 transmission in the USA: A mathematical modelling study. The Lancet Infectious Diseases, 20(11): 1247–1254.
 
Kermack WO, McKendrick AG (1991). Contributions to the mathematical theory of epidemics-I. Bulletin of Mathematical Biology, 53(1–2): 33–55.
 
Lawson AB, Banerjee S, Haining RP, Ugarte MD (2016). Handbook of Spatial Epidemiology. CRC Press.
 
Li T, Liu Y, Li M, Qian X, Dai SY (2020). Mask or no mask for COVID-19: A public health and market study. PLOS One, 15(8): e0237691.
 
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.
 
WHO (2020). Coronavirus disease 2019 (COVID-19). Situation Report 73.

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2021 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.
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