具有大规模行动的扩散性 SIS 流行病模型的地方性均衡的多重性

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Applied Mathematics Pub Date : 2024-04-16 DOI:10.1137/23m1613888
Keoni Castellano, Rachidi B. Salako
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引用次数: 0

摘要

SIAM 应用数学杂志》第 84 卷第 2 期第 732-755 页,2024 年 4 月。 摘要。我们研究了一个具有大规模作用传播机制的扩散性易感-感染-易感(SIS)流行病模型,并证明在适当的参数假设下,存在多个流行病均衡(EE)。我们的结果回答了以往研究中的一些公开问题,这些问题涉及当[math]时疾病的灭绝或持续以及当[math]时 EE 解的多重性。有趣的是,即使由质量作用引起的非线性如此简单,我们仍然发现扩散流行病模型的 EE 解可能呈 S 形或向后分叉曲线。这有力地凸显了环境异质性对传染病传播的影响,因为仅凭基本繁殖数量不足以作为预测其灭绝的临界量。我们的研究结果还揭示了疾病传播机制的重要性。
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Multiplicity of Endemic Equilibria for a Diffusive SIS Epidemic Model with Mass-Action
SIAM Journal on Applied Mathematics, Volume 84, Issue 2, Page 732-755, April 2024.
Abstract. We study a diffusive Susceptible-Infected-Susceptible (SIS) epidemic model with the mass-action transmission mechanism and show, under appropriate assumptions on the parameters, the existence of multiple endemic equilibria (EE). Our results answer some open questions on previous studies related to disease extinction or persistence when [math] and the multiplicity of EE solutions when [math]. Interestingly, even with such a simple nonlinearity induced by the mass-action, we show that the diffusive epidemic model may have an S-shaped or backward bifurcation curve of EE solutions. This strongly highlights the impacts of environmental heterogeneity on the spread of infectious diseases as the basic reproduction number alone is insufficient as a threshold quantity to predict its extinction. Our results also shed some light on the significance of disease transmission mechanisms.
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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