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具有马尔科夫切换的SVIR传染病模型的动力学

李丹 魏凤英

应用数学2023,Vol.36Issue(3):684-693,10.
应用数学2023,Vol.36Issue(3):684-693,10.

具有马尔科夫切换的SVIR传染病模型的动力学

Dynamics of an SVIR Epidemic Model with Markovian Switching

李丹 1魏凤英2

作者信息

  • 1. 福州大学数学与统计学院,福建福州350108
  • 2. 福州大学数学与统计学院,福建福州350108||福州大学运筹学与控制论福建省高校重点实验室,福建福州350108
  • 折叠

摘要

Abstract

We consider a stochastic SVIR epidemic model with Beddington-De Angelis infection rate under Markovian switching in this paper.Firstly,we derive the fitness of a unique global positive solution.Then,the sufficient condition Rs0>1 for existence of stationary distribution is obtained by constructing the appropriate Lyapunov functions.Moreover,the sufficient conditions including Re0<1 for the exponential extinction to the infected individuals are figured out.Consequently,some examples and illustrative simulations are carried out to verify the main theoretical results.

关键词

传染病/疫苗/马尔科夫切换/绝灭性/平稳分布

Key words

Epidemic model/Vaccination/Markovian switching/Extinction/Stationary distribution

分类

数理科学

引用本文复制引用

李丹,魏凤英..具有马尔科夫切换的SVIR传染病模型的动力学[J].应用数学,2023,36(3):684-693,10.

基金项目

Supported by the National Natural Science Foundation of China(61911530398),Special Projects of the Central Government Guiding Local Science and Technology Development(2021L3018)and the Natural Science Foundation of Fujian Province of China(2021J01621) (61911530398)

应用数学

OA北大核心CSTPCD

1001-9847

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