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Stochastic persistence and stationary distribution in an SIS epidemic model with media coverage

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  • Guo, Wenjuan
  • Cai, Yongli
  • Zhang, Qimin
  • Wang, Weiming

Abstract

This paper aims to study an SIS epidemic model with media coverage from a general deterministic model to a stochastic differential equation with environment fluctuation. Mathematically, we use the Markov semigroup theory to prove that the basic reproduction number R0s can be used to control the dynamics of stochastic system. Epidemiologically, we show that environment fluctuation can inhibit the occurrence of the disease, namely, in the case of disease persistence for the deterministic model, the disease still dies out with probability one for the stochastic model. So to a great extent the stochastic perturbation under media coverage affects the outbreak of the disease.

Suggested Citation

  • Guo, Wenjuan & Cai, Yongli & Zhang, Qimin & Wang, Weiming, 2018. "Stochastic persistence and stationary distribution in an SIS epidemic model with media coverage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2220-2236.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:2220-2236
    DOI: 10.1016/j.physa.2017.11.137
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