Stochastic dynamics of an SEIS epidemic model

被引:0
|
作者
Bo Yang
机构
[1] Lanzhou University of Arts and Science,School of Digital Media
关键词
epidemic model; disease-free; endemic; exponential stability;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we investigate the stochastic disease dynamics of an SEIS epidemic model with latent patients and active patients. The two parameters R0s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$R_{0}^{s}$\end{document} and R0∗\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$R_{0}^{*}$\end{document} are identified as the disease-free and endemic dynamics of the model. More specifically, we give the almost surely exponential stability of the disease-free equilibrium in terms of R0s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$R_{0}^{s}$\end{document}, and stochastic endemic dynamics in terms of R0∗\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$R_{0}^{*}$\end{document}. The theoretical and numerical results may be useful for studying the dynamics of disease spreading in a randomly fluctuating environment.
引用
收藏
相关论文
共 50 条
  • [31] Hamiltonian dynamics of the SIS epidemic model with stochastic fluctuations
    Nakamura, Gilberto M.
    Martinez, Alexandre S.
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [32] Dynamics of a stochastic SIQR epidemic model with standard incidence
    Cao, Zhongwei
    Feng, Wei
    Wen, Xiangdan
    Zu, Li
    Cheng, Ming
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 527
  • [33] Stochastic epidemic model for the dynamics of novel coronavirus transmission
    Khan, Tahir
    Rihan, Fathalla A.
    Riaz, Muhammad Bilal
    Altanji, Mohamed
    Zaagan, Abdullah A.
    Ahmad, Hijaz
    AIMS MATHEMATICS, 2024, 9 (05): : 12433 - 12457
  • [34] Dynamics of a stochastic rabies epidemic model with Markovian switching
    Peng, Hao
    Zhang, Xinhong
    Jiang, Daqing
    INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2021, 14 (05)
  • [35] Dynamics and density function for a stochastic anthrax epidemic model
    Zhao, Bing
    Lyu, Shuting
    Zhang, Qimin
    ELECTRONIC RESEARCH ARCHIVE, 2024, 32 (03): : 1574 - 1617
  • [36] The global dynamics for a stochastic SIS epidemic model with isolation
    Chen, Yiliang
    Wen, Buyu
    Teng, Zhidong
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 492 : 1604 - 1624
  • [37] Dynamics of a delayed stochastic epidemic model with double epidemic hypothesis and saturated incidence
    Li, Hengqian
    Guo, Xiurong
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2023, 26 (11) : 1250 - 1271
  • [38] QUALITATIVE ANALYSIS OF AN SEIS EPIDEMIC MODEL WITH NONLINEAR INCIDENCE RATE
    王拉娣
    李建全
    AppliedMathematicsandMechanics(EnglishEdition), 2006, (05) : 667 - 672
  • [39] Dynamics of a novel nonlinear stochastic SIS epidemic model with double epidemic hypothesis
    Meng, Xinzhu
    Zhao, Shengnan
    Feng, Tao
    Zhang, Tonghua
    JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2016, 433 (01) : 227 - 242
  • [40] Qualitative analysis of an SEIS epidemic model with nonlinear incidence rate
    Wang La-di
    Li Jian-quan
    APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2006, 27 (05) : 667 - 672