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Stochastic persistence and stationary distribution in an SIS epidemic model with media coverage
Wenjuan Guo1,2, Yongli Cai1, Qimin Zhang2,3
1School of Mathematical Science, Huaiyin Normal University, Huaian 223300, PR China.
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 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.
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