具有大规模行动感染机制的分数扩散 SIS 流行病模型的时空动力学。

IF 2.2 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2024-10-24 DOI:10.1007/s00285-024-02153-1
Peng Shi, Wan-Tong Li, Fei-Ying Yang
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引用次数: 0

摘要

本文主要研究具有大规模感染机制的分数扩散易感-感染-易感(SIS)流行病模型的时空动力学。具体来说,我们首先关注无病均衡和流行均衡的存在性和稳定性。然后,我们给出了地方病均衡在小扩散率和大扩散率下的渐近曲线,这可以同时揭示扩散率和分数幂的影响。值得注意的是,我们得出了一些与直觉相反的结论:控制受感染个体的流动不会根除疾病,但限制易感个体的流动却会使疾病消失。
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Spatiotemporal dynamics in a fractional diffusive SIS epidemic model with mass action infection mechanism.

This paper is concerned with spatiotemporal dynamics of a fractional diffusive susceptible-infected-susceptible (SIS) epidemic model with mass action infection mechanism. Concretely, we first focus on the existence and stability of the disease-free and endemic equilibria. Then, we give the asymptotic profiles of the endemic equilibrium on small and large diffusion rates, which can reveal the impact of dispersal rates and fractional powers simultaneously. It is worth noting that we have some counter-intuitive findings: controlling the flow of infected individuals will not eradicate the disease, but restricting the movement of susceptible individuals will make the disease disappear.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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