SIR type COVID-19 multi-stage optimal control model

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  • 1. Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China

Received date: 2021-04-06

  Online published: 2023-03-16

Abstract

The coronavirus disease 2019 (COVID-19) spreads all over the world, and it makes serious threat to people's health. Being faced with the data of anticipated development of COVID-19, we need to determine the epidemic spreading parameters under limited medical resources to give guidance for implementation intensities of the main epidemic prevention and control measures. In this paper, we describe the development of COVID-19 based on the SIR model. What's more, we propose a multi-stage optimal control model to determine the epidemic spreading parameters. In order to determine the values of parameters efficiently, we construct an SDP approximation model which is a polynomial-time computable problem. Based on the data of COVID-19 published by WHO, we apply our approximation model to obtain the epidemic spreading parameters which describe the development of COVID-19 in the USA within a given period of time, and analyze the epidemic prevention and control strategies.

Cite this article

Jintao XU, Wenxun XING . SIR type COVID-19 multi-stage optimal control model[J]. Operations Research Transactions, 2023 , 27(1) : 43 -52 . DOI: 10.15960/j.cnki.issn.1007-6093.2023.01.003

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