Author: Sanyi Tang; Biao Tang; Nicola Luigi Bragazzi; Fan Xia; Tangjuan Li; Sha He; Pengyu Ren; Xia Wang; Zhihang Peng; Yanni Xiao; Jianhong Wu
Title: Stochastic discrete epidemic modeling of COVID-19 transmission in the Province of Shaanxi incorporating public health intervention and case importation Document date: 2020_2_29
ID: aoqyx8mk_56
Snippet: It is very important to study the epidemic situation of COVID-19 by using traced data rather than simply using the number of confirmed cases, especially in the areas where the imported cases are the main and the epidemic situation is not serious. This can not only provide important data information for the accurate evaluation of the epidemic situation in other areas outside Hubei.....
Document: It is very important to study the epidemic situation of COVID-19 by using traced data rather than simply using the number of confirmed cases, especially in the areas where the imported cases are the main and the epidemic situation is not serious. This can not only provide important data information for the accurate evaluation of the epidemic situation in other areas outside Hubei
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