奥恩斯坦-乌伦贝克过程
消光(光学矿物学)
概率密度函数
数学
统计物理学
理论(学习稳定性)
随机过程
随机建模
应用数学
功能(生物学)
物理
统计
计算机科学
生物
光学
机器学习
进化生物学
作者
Ying Yang,Kai Wang,Jing Zhang,Guofang Zhang
标识
DOI:10.21203/rs.3.rs-4569828/v1
摘要
Abstract In this paper, we discuss a stochastic SIR model with saturated incidence rate, which perturbed by log-normal Ornstein-Uhlenbeck (OU) process. The stability of the disease-free equilibriumand endemic equilibrium of deterministic system is initially established. Subsequently, the existenceof unique positive solutions of stochastic systems can be proved through the construction of suitableLyapunov functions. The extinction of stochastic SIR model are demonstrated by introducing thethreshold $R_0^e$. Furthermore, we study the persistence of stochastic SIR model as well as derive itsstationary distribution, and the probability density function around the quasi-endemic equilibrium iscomputed. Finally, theoretical findings are validated through numerical simulations.
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