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流感感染的随机动力学:定性分析与数值结果。

Stochastic dynamics of influenza infection: Qualitative analysis and numerical results.

机构信息

Department of Mathematics and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.

Department of Industrial Engineering, OSTİM Technical University, Ankara 06374, Türkiye.

出版信息

Math Biosci Eng. 2022 Jul 21;19(10):10316-10331. doi: 10.3934/mbe.2022482.

DOI:10.3934/mbe.2022482
PMID:36031995
Abstract

In this paper, a novel influenza $ \mathcal{S}\mathcal{I}_N\mathcal{I}_R\mathcal{R} $ model with white noise is investigated. According to the research, white noise has a significant impact on the disease. First, we explain that there is global existence and positivity to the solution. Then we show that the stochastic basic reproduction $ {{\underset{\scriptscriptstyle\centerdot}{\text{R}}}} {_r} $ is a threshold that determines whether the disease is cured or persists. When the noise intensity is high, we get $ {{\underset{\scriptscriptstyle\centerdot}{\text{R}}}}{_r} < 1 $ and the disease goes away; when the white noise intensity is low, we get $ {{\underset{\scriptscriptstyle\centerdot}{\text{R}}}}{_r} > 1 $, and a sufficient condition for the existence of a stationary distribution is obtained, which suggests that the disease is still there. However, the main objective of the study is to produce a stochastic analogue of the deterministic model that we analyze using numerical simulations to get views on the infection dynamics in a stochastic environment that we can relate to the deterministic context.

摘要

本文研究了一个带有白噪声的新型流感 $ \mathcal{S}\mathcal{I}\mathcal{N}\mathcal{I}\mathcal{R} $ 模型。研究表明,白噪声对疾病有重大影响。首先,我们证明了该模型解的全局存在性和正定性。然后,我们表明随机基本再生数 $ {{\underset{\scriptscriptstyle\centerdot}{\text{R}}}} {_r} $ 是一个决定疾病是否被治愈或持续存在的阈值。当噪声强度较高时,我们得到 $ {{\underset{\scriptscriptstyle\centerdot}{\text{R}}}}{_r} < 1 $,疾病消失;当白噪声强度较低时,我们得到 $ {{\underset{\scriptscriptstyle\centerdot}{\text{R}}}}{_r} > 1 $,并得到了存在平稳分布的充分条件,这表明疾病仍然存在。然而,本研究的主要目的是生成确定性模型的随机模拟,我们使用数值模拟对其进行分析,以获得对随机环境下感染动力学的看法,我们可以将其与确定性背景联系起来。

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