Critical result on the threshold of a stochastic SIS model with saturated incidence rate

Chunjuan Zhu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 523, issue C, 426-437

Abstract: In this paper, we discuss the threshold R0̃ of a stochastic SIS epidemic model with saturated incidence based on [10]. If R0̃<1, the disease will die out for any intensity noise σ2>0, which is not proved in [10]. Then, it is obtained that the disease will also go to extinction in probability if R0̃=1, which has been left as an open problem in [10] and many other literatures. And when R0̃>1, we get the stochastic persistence of the disease (which is different from the persistence in mean in previous literatures) by using Chebyshev’s inequality. And it shows the smaller noise will strengthen the stability of systems. Besides, the existence of the stationary distribution is gotten. Finally, numerical simulations are given to illustrate the results.

Keywords: Stochastic SIS model; Threshold; Extinction; Stochastic persistence (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:523:y:2019:i:c:p:426-437

DOI: 10.1016/j.physa.2019.02.012

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