具有 Ornstein-Uhlenbeck 过程的随机 SIRV 流行模型的动力学行为

IF 3.1 3区 数学 Q1 MATHEMATICS
Jiaxin Shang, Wenhe Li
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引用次数: 0

摘要

疫苗接种是疾病控制中抑制疾病的重要手段,而受疫苗影响的疾病不再符合一般的传播模式。本文通过假设感染率受 Ornstein-Uhlenbeck 过程的影响,得到了随机 SIRV 模型。首先,我们证明了全局正解的存在性和唯一性。然后,我们得到了疾病消亡和持续存在的充分条件。接着,通过创建一个适当的 Lyapunov 函数,证明了模型静态分布的存在性。此外,还得到了模型在准平衡点附近的概率密度函数的明确表达式。最后,通过数值模拟对分析结果进行检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dynamical behaviors of a stochastic SIRV epidemic model with the Ornstein–Uhlenbeck process

Dynamical behaviors of a stochastic SIRV epidemic model with the Ornstein–Uhlenbeck process

Vaccination is an important tool in disease control to suppress disease, and vaccine-influenced diseases no longer conform to the general pattern of transmission. In this paper, by assuming that the infection rate is affected by the Ornstein–Uhlenbeck process, we obtained a stochastic SIRV model. First, we prove the existence and uniqueness of the global positive solution. Sufficient conditions for the extinction and persistence of the disease are then obtained. Next, by creating an appropriate Lyapunov function, the existence of the stationary distribution for the model is proved. Further, the explicit expression for the probability density function of the model around the quasi-equilibrium point is obtained. Finally, the analytical outcomes are examined by numerical simulations.

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来源期刊
Advances in Difference Equations
Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
8.60
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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