Competitive networked bi-virus spread: Existence of coexistence equilibria

IF 1.9 4区 数学 Q2 BIOLOGY Mathematical Biosciences Pub Date : 2024-08-28 DOI:10.1016/j.mbs.2024.109286
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Abstract

The paper studies multi-competitive continuous-time epidemic processes. We consider the setting where two viruses are simultaneously prevalent, and the spread occurs due to individual-to-individual interaction. In such a setting, an individual is either not affected by any of the viruses, or infected by one and exactly one of the two viruses. One of the equilibrium points is the coexistence equilibrium, i.e., multiple viruses simultaneously infect separate fractions of the population. We provide a sufficient condition for the existence of a coexistence equilibrium. We identify a condition such that for certain pairs of spread matrices either every coexistence equilibrium lies on a line that is locally exponentially attractive, or there is no coexistence equilibrium. We then provide a condition that, for certain pairs of spread matrices, rules out the possibility of the existence of a coexistence equilibrium, and, as a consequence, establishes global asymptotic convergence to the endemic equilibrium of the dominant virus. Finally, we provide a mitigation strategy that employs one virus to ensure that the other virus is eradicated. The theoretical results are illustrated using simulations.

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竞争性网络双病毒传播:共存均衡的存在。
本文研究多竞争连续时间流行过程。我们考虑了两种病毒同时流行的情况,传播是由于个体与个体之间的相互作用而发生的。在这种情况下,个体要么不受任何一种病毒的影响,要么恰好被两种病毒中的一种感染。其中一个平衡点是共存平衡,即多种病毒同时感染不同部分的人群。我们提供了共存均衡存在的充分条件。我们确定了一个条件,即对于某些传播矩阵对,要么每个共存均衡点都位于一条局部具有指数吸引力的直线上,要么就不存在共存均衡点。然后,我们提供了一个条件,对于某些传播矩阵对,它排除了共存均衡存在的可能性,并因此确定了向优势病毒流行均衡的全局渐进收敛。最后,我们提供了一种缓解策略,利用一种病毒确保另一种病毒被消灭。理论结果将通过模拟加以说明。
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
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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