Analysis of Stochastic SIRC Model with Cross Immunity Based on Ornstein-Uhlenbeck Process

被引:5
|
作者
Ni, Zhiming [1 ]
Jiang, Daqing [1 ]
Cao, Zhongwei [2 ]
Mu, Xiaojie [1 ]
机构
[1] China Univ Petr East China, Coll Sci, Qingdao 266580, Peoples R China
[2] Jilin Univ Finance & Econ, Logist Ind Econ & Intelligent Logist Lab, Changchun 130117, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic SIRC epidemic model; Cross immunity; Ornstein-Uhlenbeck process; Stationary distribution; STATIONARY DISTRIBUTION; MATHEMATICAL-THEORY; COVID-19;
D O I
10.1007/s12346-023-00782-3
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we analyze a stochastic SIRC model with Ornstein-Uhlenbeck process. Firstly, we give the existence and uniqueness of global solution of stochastic SIRC model and prove it. In addition, the existence of ergodic stationary distributions for stochastic SIRC system is proved by constructing a suitable series of Lyapunov functions. A quasi-endemic equilibrium related to endemic equilibrium of deterministic systems is defined by considering randomness. And we obtain the probability density function of the linearized system near the equilibrium point. After the proof of probability density function, the sufficient condition of disease extinction is given and proved. We prove the theoretical results in the paper by numerical simulation at the end of the paper.
引用
收藏
页数:30
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