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Stationary distribution and extinction of a stochastic SVEIS epidemic model incorporating Ornstein–Uhlenbeck process
Applied Mathematics Letters ( IF 2.9 ) Pub Date : 2022-06-26 , DOI: 10.1016/j.aml.2022.108284
Yunquan Song , Xinhong Zhang

In this paper, we assumed that the parameter in the SVEIS epidemic model satisfies the mean-reverting Ornstein–Uhlenbeck process, and propose a new stochastic SVEIS model. Through constructing suitable Lyapunov function, we prove that this stochastic model has a stationary distribution when the critical value R0s>1. Then the sufficient condition R0e<1 for the exponential extinction is also established. Results show that the values go to the deterministic basic reproduction number R0 as the intensity of volatility tends to 0.



中文翻译:

包含 Ornstein-Uhlenbeck 过程的随机 SVEIS 流行病模型的平稳分布和消亡

在本文中,我们假设 SVEIS 流行病模型中的参数满足均值回归 Ornstein-Uhlenbeck 过程,并提出了一种新的随机 SVEIS 模型。通过构造合适的 Lyapunov 函数,我们证明了该随机模型在临界值R0s>1. 那么充分条件R0e<1因为指数消光也成立。结果表明,这些值达到了确定的基本再生数R0因为波动强度趋于0。

更新日期:2022-06-26
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