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Stationary distribution of a stochastic cholera model with imperfect vaccination

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  • Liu, Qun
  • Jiang, Daqing

Abstract

In this paper, a stochastic cholera model with imperfect vaccination is proposed and investigated. We establish sufficient conditions for the existence and uniqueness of an ergodic stationary distribution of the positive solutions to the model by constructing a suitable stochastic Lyapunov function. Our result may provide some new insights for elimination of cholera. Some numerical simulation is provided to demonstrate our main result.

Suggested Citation

  • Liu, Qun & Jiang, Daqing, 2020. "Stationary distribution of a stochastic cholera model with imperfect vaccination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    • Handle: RePEc:eee:phsmap:v:550:y:2020:i:c:s0378437119322307
    DOI: 10.1016/j.physa.2019.124031
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    References listed on IDEAS

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    1. Liu, Qun & Jiang, Daqing, 2019. "Dynamical behavior of a stochastic multigroup SIR epidemic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    2. Cai, Yongli & Jiao, Jianjun & Gui, Zhanji & Liu, Yuting & Wang, Weiming, 2018. "Environmental variability in a stochastic epidemic model," Applied Mathematics and Computation, Elsevier, vol. 329(C), pages 210-226.
    3. Sasaki, S. & Suzuki, H. & Fujino, Y. & Kimura, Y. & Cheelo, M., 2009. "Impact of drainage networks on cholera outbreaks in Lusaka, Zambia," American Journal of Public Health, American Public Health Association, vol. 99(11), pages 1982-1987.
    4. Wang, Weiming & Cai, Yongli & Ding, Zuqin & Gui, Zhanji, 2018. "A stochastic differential equation SIS epidemic model incorporating Ornstein–Uhlenbeck process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 921-936.
    5. Lee, Hyojung & Lee, Sunmi & Lee, Chang Hyeong, 2016. "Stochastic methods for epidemic models: An application to the 2009 H1N1 influenza outbreak in Korea," Applied Mathematics and Computation, Elsevier, vol. 286(C), pages 232-249.
    6. Cai, Yongli & Kang, Yun & Wang, Weiming, 2017. "A stochastic SIRS epidemic model with nonlinear incidence rate," Applied Mathematics and Computation, Elsevier, vol. 305(C), pages 221-240.
    7. Cai, Li-Ming & Modnak, Chairat & Wang, Jin, 2017. "An age-structured model for cholera control with vaccination," Applied Mathematics and Computation, Elsevier, vol. 299(C), pages 127-140.
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    Cited by:

    1. Nguiwa, Tchule & Kolaye, Gabriel Guilsou & Justin, Mibaile & Moussa, Djaouda & Betchewe, Gambo & Mohamadou, Alidou, 2021. "Dynamic study of SIAISQVR−B fractional-order cholera model with control strategies in Cameroon Far North Region," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).

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