STABILITY OF A STOCHASTIC SEIS MODEL WITH SATURATION INCIDENCE AND LATENT PERIOD

被引:4
|
作者
Ji, Xuehui [1 ,2 ]
Yuan, Sanling [2 ]
Li, Jiao [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Management, 516 Jungong Rd, Shanghai 200093, Peoples R China
[2] Univ Shanghai Sci & Technol, Coll Sci, 516 Jungong Rd, Shanghai 200093, Peoples R China
来源
JOURNAL OF APPLIED ANALYSIS AND COMPUTATION | 2017年 / 7卷 / 04期
基金
中国国家自然科学基金;
关键词
Stochastic SEIS model; time delay; Lyapunov functional; It(o)over-cap's formula; stochastic stability; SIS EPIDEMIC MODEL; NONLINEAR INCIDENCE RATES; GLOBAL STABILITY; DYNAMICS; BEHAVIOR; VACCINATION; THRESHOLD; DISEASES;
D O I
10.11918/2017101
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a stochastic SEIS epidemic model with a saturation incidence rate and a time delay describing the latent period of the disease is investigated. The model inherits the endemic steady state from its corresponding deterministic counterpart. We first show the existence and uniqueness of the global positive solution of the model. Then, by constructing Lyapunov functionals, we derive sufficient conditions ensuring the stochastic stability of the endemic steady state. Numerical simulations are carried out to confirm our analytical results. Furthermore, our simulation results shows that the existence of noise and delay may cause the endemic steady state to be unstable.
引用
收藏
页码:1652 / 1673
页数:22
相关论文
共 50 条