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Levy噪声对具有信息干预的随机诺如病毒流行模型的影响

Impact of Levy noise on a stochastic Norovirus epidemic model with information intervention.

作者信息

Cui Ting, Din Anwarud, Liu Peijiang, Khan Amir

机构信息

School of Economics, Guangdong University of Finance and Economics, Guangzhou, P. R. China.

Department of Mathematics, Sun Yat-sen University, Guangzhou, P. R. China.

出版信息

Comput Methods Biomech Biomed Engin. 2023 Sep;26(9):1086-1099. doi: 10.1080/10255842.2022.2106784. Epub 2022 Aug 11.

Abstract

In this article, we study the dynamics of Norovirus infection by developing a stochastic epidemic model having Levy noise. The study shows that Levy noise and informative interventions have more influence on the said dynamics. Firstly, we show that the model has a unique global positive solution. After this, we formulated a stochastic threshold value as a necessary condition for the extinction and persistence in the mean of the proposed epidemic model. Finally, numerical simulation are drawn to verify our obtained results of the dynamics. The perturbed stochastic approach may affect the dynamical properties of the model and large noises will be greatly significant to minimize its transmission.

摘要

在本文中,我们通过建立一个具有列维噪声的随机流行病模型来研究诺如病毒感染的动态。研究表明,列维噪声和信息干预对上述动态有更大影响。首先,我们证明该模型有唯一的全局正解。在此之后,我们制定了一个随机阈值,作为所提出的流行病模型灭绝和均值持续存在的必要条件。最后,进行了数值模拟以验证我们得到的动态结果。摄动随机方法可能会影响模型的动力学性质,大噪声对于最小化其传播将非常重要。

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