Author: Liu, Zhi Hua; 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: qcxq4qsb Document date: 2020_4_8
ID: qcxq4qsb
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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