Application of SEIR Model to Predict Covid-19’s Early Stage in Hubei Province
Pages 16 - 21
Abstract
Novel Coronavirus epidemic has been rapidly spreading since January 2020 with an increase in confirmed cases in all regions. The epidemic has drawn great attention from local governments. The first cases of COVID-19 were found in Wuhan, Hubei province in China which may have relatively typical data trend in the spread of the epidemic. In this paper, the author uses the SEIR (Susceptible-Exposed-Infected-Recovery) model of transmission dynamics to simulate the real epidemic development in Hubei province. The purpose of this article is to present recent research advances and estimation methods for several important epidemiological parameters of COVID-19 and the prediction based on SEIR model.
References
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Sheng Li, FENG Peihua, SHI Pengpeng. Modified SEIR Dynamics model for coVID-19 epidemic Prediction and Assessment in Hubei Province [J/0L]. Journal of Zhejiang University Medical Edition,[2020-02-28].
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National Health Commission, PRC. Update on COVID-19 as of 24:00, 10 March [EB/0L].(2020-03-11) [2020-03-15].http://www.nhc.gov.cn/xcs/xxgzbd/gzbd\一index.shtml
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Yang Zheng, Atomia, JIA Zuyao. Estimation of the number of people infected with novel coronavirus in Wuhan based on migration data [J]. Journal of University of Electronic Science and Technology of China, 2020.
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Published In
September 2020
69 pages
ISBN:9781450388139
DOI:10.1145/3440067
Copyright © 2020 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 March 2021
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- Research-article
- Research
- Refereed limited
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ICBRA 2020
ICBRA 2020: 2020 7th International Conference on Bioinformatics Research and Applications
September 13 - 15, 2020
Berlin, Germany
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