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受媒体报道影响的SEIAQRS传染病模型分析

王美艳 薛亚奎

中北大学学报(自然科学版)2024,Vol.45Issue(1):74-82,9.
中北大学学报(自然科学版)2024,Vol.45Issue(1):74-82,9.DOI:10.3969/j.issn.1673-3193.2024.01.010

受媒体报道影响的SEIAQRS传染病模型分析

Analysis of SEIAQRS Epidemic Model Effected by Media Coverage

王美艳 1薛亚奎1

作者信息

  • 1. 中北大学 数学学院,山西 太原 030051
  • 折叠

摘要

Abstract

A SEIAQRS infectious disease model with media coverage and isolation is established to under-stand the transmission mechanism of COVID-19.The existence and stability of equilibrium point are dis-cussed by using the basic regeneration number Rc.When Rc<1,the disease-free equilibrium is globally asymptotically stable,and when Rc>1,there is a unique locally asymptotically stable endemic disease equilibrium.The effects of model parameters α(isolation rate of symptomatic infected persons),p(recov-ery rate of symptomatic infected persons)and m0(media coverage coefficient)on the basic regeneration number are analyzed.It is obtained that isolating symptomatic infected persons,improving the recovery rate of symptomatic infected persons and increasing the media coverage of regular dissemination of infec-tious disease knowledge can reduce the basic regeneration number Rc.Finally,through numerical simula-tion,media coverage and effective isolation can greatly reduce the number of infected people,and thus effectively control the spread of COVID-19.

关键词

媒体报道/传播率/隔离/SEIAQRS传染病模型

Key words

media coverage/transmission rate/isolation/SEIAQRS epidemic model

分类

数理科学

引用本文复制引用

王美艳,薛亚奎..受媒体报道影响的SEIAQRS传染病模型分析[J].中北大学学报(自然科学版),2024,45(1):74-82,9.

基金项目

国家自然科学基金资助项目(11971278) (11971278)

山西省自然科学青年基金资助项目(201801D221040) (201801D221040)

中北大学学报(自然科学版)

1673-3193

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