Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom

被引:53
作者
Liu, Z. [1 ]
Magal, P. [2 ,3 ]
Webb, G. [4 ]
机构
[1] Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
[2] Univ Bordeaux, IMB, UMR 5251, F-33400 Talence, France
[3] CNRS, IMB, UMR 5251, F-33400 Talence, France
[4] Vanderbilt Univ, Dept Math, Nashville, TN USA
基金
中国国家自然科学基金;
关键词
Corona virus; Reported and unreported cases; Isolation; Quarantine; Public closings; Epidemic mathematical model;
D O I
10.1016/j.jtbi.2020.110501
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We model the COVID-19 coronavirus epidemics in China, South Korea, Italy, France, Germany and the United Kingdom. We identify the early phase of the epidemics, when the number of cases grows exponentially, before government implementation of major control measures. We identify the next phase of the epidemics, when these social measures result in a time-dependent exponentially decreasing number of cases. We use reported case data, both asymptomatic and symptomatic, to model the transmission dynamics. We also incorporate into the transmission dynamics unreported cases. We construct our models with comprehensive consideration of the identification of model parameters. A key feature of our model is the evaluation of the timing and magnitude of implementation of major public policies restricting social movement. We project forward in time the development of the epidemics in these countries based on our model analysis. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:10
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