Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data

Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data

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 isolati...

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Bibliographic Details
Main Authors: Zhihua Liu, Pierre Magal, usmane Seydi, Glenn Webb
Format: Article
Language:English
Published: AIMS Press 2020-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
corona virus
reported and unreported cases
isolation
quarantine
public closings
epidemic mathematical model
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020172?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2020172?viewType=HTML

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