GLOBAL DYNAMICS OF DETERMINISTIC AND STOCHASTIC SIRS EPIDEMIC MODELS

被引:1
作者
Chen, Zhewen [1 ]
Zhang, Ruimin [1 ]
Li, Jiang [1 ]
Liu, Xiaohui [1 ]
Wei, Chunjin [1 ]
机构
[1] Jimei Univ, Sch Sci, Xiamen 361021, Fujian, Peoples R China
来源
JOURNAL OF APPLIED ANALYSIS AND COMPUTATION | 2021年 / 11卷 / 05期
关键词
Epidemic; stochastic; stationary solution; extinction; noise; STATIONARY DISTRIBUTION; SATURATED INCIDENCE; EXTINCTION; PERSISTENCE; SURVIVAL;
D O I
10.11948/20190387
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we analyze the dynamic behavior of Heesterbeek et al. [12] obtained saturating contact rate applied to SIRS epidemic model. We define two threshold values, the deterministic basic reproduction number R-0 and the stochastic basic reproduction number R-0(s), by comparing the value with one to determine the persistence and extinction of the disease. For deterministic model, if R-0 < 1, we show that the disease-free equilibrium is globally asymptotically stable; while if R-0 > 1, the system admits a unique endemic equilibrium which is locally asymptotically stable. For stochastic model, we also establish the threshold value R-0(s) for disease persistence and extinction. Finally, some numerical simulations are presented to illustrate our theoretical results. Our results prove that large stochastic perturbation will lead to the extinction of diseases with probability one, revealing the significant influence of stochastic perturbation on diseases and the importance of incorporating stochastic perturbation into deterministic model.
引用
收藏
页码:2211 / 2229
页数:19
相关论文
共 43 条
  • [1] A stochastic differential equation SIS epidemic model with two independent Brownian motions
    Cai, Siyang
    Cai, Yongmei
    Mao, Xuerong
    [J]. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2019, 474 (02) : 1536 - 1550
  • [2] A stochastic SIRS epidemic model with nonlinear incidence rate
    Cai, Yongli
    Kang, Yun
    Wang, Weiming
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2017, 305 : 221 - 240
  • [3] Fish-hook bifurcation branch in a spatial heterogeneous epidemic model with cross-diffusion
    Cai, Yongli
    Wang, Weiming
    [J]. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2016, 30 : 99 - 125
  • [4] A stochastic SIS epidemic model with vaccination
    Cao, Boqiang
    Shan, Meijing
    Zhang, Qimin
    Wang, Weiming
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 486 : 127 - 143
  • [5] Analysis of a novel stochastic SIRS epidemic model with two different saturated incidence rates
    Chang, Zhengbo
    Meng, Xinzhu
    Lu, Xiao
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 472 : 103 - 116
  • [6] A stochastic nutrient-phytoplankton model with viral infection and Markov switching
    Chen, Zhewen
    Zhang, Ruimin
    Li, Jiang
    Zhang, Shuwen
    Wei, Chunjin
    [J]. CHAOS SOLITONS & FRACTALS, 2020, 140
  • [7] Analysis of a stochastic tumor-immune model with regime switching and impulsive perturbations
    Deng, Ying
    Liu, Meng
    [J]. APPLIED MATHEMATICAL MODELLING, 2020, 78 : 482 - 504
  • [8] A stochastic analysis for a triple delayed SIQR epidemic model with vaccination and elimination strategies
    El Fatini, Mohamed
    Pettersson, Roger
    Sekkak, Idriss
    Taki, Regragui
    [J]. JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2020, 64 (1-2) : 781 - 805
  • [9] A class of stochastic delayed SIR epidemic models with generalized nonlinear incidence rate and temporary immunity
    Fan, Kuangang
    Zhang, Yan
    Gao, Shujing
    Wei, Xiang
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 481 : 198 - 208
  • [10] Feng T., INT J BIOMATH, DOI [10.1016/j.physa.2019.01.014, DOI 10.1016/J.PHYSA.2019.01.014]