具有随机效应的两组SVIR流行模型的定性分析。

IF 4.1 3区 数学 Q1 Mathematics
Advances in Difference Equations Pub Date : 2021-01-01 Epub Date: 2021-03-19 DOI:10.1186/s13662-021-03332-w
Kaiyan Zhao, Shaojuan Ma
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引用次数: 6

摘要

本文研究了具有随机效应的两组SVIR流行病模型的动力学行为。首先,建立了具有自然死亡率随机扰动的两组SVIR流行模型。利用停止时间理论和李亚普诺夫分析方法证明了正解的存在唯一性。其次,利用强数定律和连续局部鞅,得到了系统解的一个性质。最后,应用了一种新的李雅普诺夫函数组合。当基本繁殖数小于1时,得到的模型解在稳态附近振荡,这是相应确定性模型的无病平衡点。通过数值模拟验证了理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Qualitative analysis of a two-group SVIR epidemic model with random effect.

Qualitative analysis of a two-group SVIR epidemic model with random effect.

Qualitative analysis of a two-group SVIR epidemic model with random effect.

In this paper, we investigate the dynamical behavior of a two-group SVIR epidemic model with random effect. Firstly, the two-group SVIR epidemic model with random perturbation of natural death rate is established. The existence and uniqueness of positive solution are proved by using stopping time theory and the Lyapunov analysis method. Secondly, a property of the system solution is obtained by using the law of strong numbers and the continuous local martingale. Finally, a new combination of Lyapunov functions is applied. The solution of the model we obtained is oscillating around a steady state if the basic reproduction number is less than one, which is the disease-free equilibrium of the corresponding deterministic model. A numerical simulation is presented to verify our theoretical results.

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来源期刊
自引率
0.00%
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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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