Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
2020
Zhihua Liu | Pierre Magal | usmane Seydi | Glenn Webb
We model the COVID-19 coronavirus epidemic in China. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases.
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书目信息
出版者
AIMS Press
其它主题
Epidemic mathematical model; Corona virus; Reported and unreported cases; Public closings
语言
英语
2024-12-12
2025-10-24
DOAJ