A stochastic SIRS epidemic model with nonlinear incidence rate

Abstract

In this paper, we investigate the global dynamics of a general SIRS epidemic model with a ratio-dependent incidence rate and its corresponding stochastic differential equation version. For the deterministic model, we show that the basic reproduction number R 0 determines whether there is an endemic outbreak or not: if R 0 < 1 , the disease dies out; while if R 0 > 1 , the disease persists. For the stochastic model, we show that its related reproduction number R S 0 can determine whether there is a unique disease-free stationary distribution or a unique endemic stationary distribution. In addition, we provide analytic results regarding the stochastic boundedness and permanence/extinction. One of the most interesting findings is that random fluctuations introduced in our stochastic model can suppress disease outbreak, which can provide us some useful control strategies to regulate disease dynamics. © 2017 Elsevier Inc. All rights reserved.

DOI: 10.1016/j.amc.2017.02.003

4 Figures and Tables

Cite this paper

@article{Cai2017ASS, title={A stochastic SIRS epidemic model with nonlinear incidence rate}, author={Yongli Cai and Yun Kang and Weiming Wang}, journal={Applied Mathematics and Computation}, year={2017}, volume={305}, pages={221-240} }