Towards Understanding the Endemic Behavior of a Competitive Tri-virus SIS Networked Model

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-06-07 DOI:10.1137/23m1563074
Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, Cesar A. Uribe
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Abstract

SIAM Journal on Applied Dynamical Systems, Volume 23, Issue 2, Page 1372-1410, June 2024.
Abstract.This paper studies the endemic behavior of a multi-competitive networked susceptible-infected-susceptible (SIS) model. Specifically, the paper deals with three competing virus systems (i.e., tri-virus systems) spreading over a population. First, we show that a tri-virus system, unlike a bi-virus system, is not a monotone dynamical system. Using the Parametric Transversality Theorem, we show that, generically, a tri-virus system has a finite number of equilibria and that the Jacobian matrices associated with each equilibrium are nonsingular. The endemic equilibria of this system can be classified as follows: (a) single-virus endemic equilibria (also referred to as the boundary equilibria), where precisely one of the three viruses is present in the population; (b) 2-coexistence equilibria, where exactly two of the three viruses are present in the population; and (c) 3-coexistence equilibria, where all three viruses present in the population. By leveraging the notions of basic reproduction number (i.e., the number of infections caused by an infected individual in a completely susceptible population) and invasion reproduction number (i.e., the average number of infections caused by an individual in a setting where other endemic virus(es) are at equilibrium), we provide a necessary and sufficient condition that guarantees local exponential convergence to a boundary equilibrium. Further, we secure conditions for the nonexistence of 3-coexistence equilibria (resp., for various kinds of 2-coexistence equilibria). We also identify sufficient conditions for the existence of a 2-coexistence (resp., 3-coexistence) equilibrium. We identify conditions on the model parameters that give rise to a continuum of coexistence equilibria. More specifically, we establish (i) a scenario that admits the existence and local exponential attractivity of a line of coexistence equilibria; and (ii) scenarios that admit the existence of, and, in the case of one such scenario, global convergence to, a plane of 3-coexistence equilibria.
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了解竞争性三病毒 SIS 网络模型的流行行为
SIAM 应用动力系统期刊》第 23 卷第 2 期第 1372-1410 页,2024 年 6 月。 摘要:本文研究了多竞争网络易感-感染-易感(SIS)模型的流行行为。具体来说,本文涉及在一个种群中传播的三个相互竞争的病毒系统(即三病毒系统)。首先,我们证明三病毒系统与双病毒系统不同,不是单调的动力系统。我们利用参数横向性定理证明,一般来说,三病毒系统有有限个均衡点,而且与每个均衡点相关的雅各布矩阵都是非奇异的。该系统的流行均衡点可分为以下几种:(a) 单病毒流行均衡(也称为边界均衡),即三种病毒中恰好有一种存在于种群中;(b) 两病毒共存均衡,即三种病毒中恰好有两种存在于种群中;以及 (c) 三病毒共存均衡,即三种病毒都存在于种群中。通过利用基本繁殖数(即在完全易感的种群中受感染个体引起的感染数)和入侵繁殖数(即在其他流行病毒处于均衡状态的情况下个体引起的平均感染数)的概念,我们提供了一个必要条件和充分条件,以保证局部指数收敛到边界均衡。此外,我们还确保了 3 共存均衡(即各种 2 共存均衡)不存在的条件。我们还确定了 2-共存(即 3-共存)均衡存在的充分条件。我们确定了导致连续共存均衡的模型参数条件。更具体地说,我们确定了 (i) 允许存在一条共存均衡线并具有局部指数吸引力的方案;以及 (ii) 允许存在一个 3 共存均衡面的方案,并且在其中一个方案中,允许全局收敛到 3 共存均衡面。
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
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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