Author: Liu, Zhihua; Magal, Pierre; Seydi, Ousmane; Webb, Glenn
Title: Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data Cord-id: jdy0os21 Document date: 2020_2_27
ID: jdy0os21
Snippet: 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.
Document: 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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