New Results on the Asymptotic Behaviour of a Stochastic SEI Model of Lymphatic Filariasis

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2024-07-22 DOI:10.1155/2024/3338326
Ragnimwendé Sawadogo, Fourtoua Victorien Konané
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引用次数: 0

Abstract

The goal of this article is to examine a new stochastic epidemic model for lymphatic filariasis, susceptible-exposed-infected (SEI). Like other diseases, the spread of lymphatic filariasis is subject to a degree of randomness due to fluctuations in the natural environment. This provides us with the opportunity to formulate a mathematical model of lymphatic filariasis that comprehensively considers external stochastic influences. By using carefully designed stochastic Lyapunov functions, we establish sufficient conditions for the eradication of lymphatic filariasis infections. Moreover, under specific conditions regarding the intensity of white noise, we also demonstrate the existence of a unique ergodic stationary distribution and the persistence of the mean for the model. Numerical simulations are conducted to substantiate the validity of our findings.

Abstract Image

关于淋巴丝虫病随机 SEI 模型渐近行为的新结果
本文旨在研究一种新的淋巴丝虫病随机流行模型--易感-暴露-感染(SEI)。与其他疾病一样,由于自然环境的波动,淋巴丝虫病的传播也存在一定程度的随机性。这就为我们提供了一个全面考虑外部随机影响因素的淋巴丝虫病数学模型。通过使用精心设计的随机 Lyapunov 函数,我们建立了根除淋巴丝虫病感染的充分条件。此外,在白噪声强度的特定条件下,我们还证明了该模型存在唯一的遍历静态分布和均值的持久性。我们还进行了数值模拟,以证实我们研究结果的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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