Finding bifurcations in mathematical epidemiology via reaction network methods.

IF 2.7 2区数学 Q1 MATHEMATICS, APPLIED

Chaos Pub Date : 2024-12-01 DOI:10.1063/5.0221082

N Vassena, F Avram, R Adenane

引用次数: 0

Abstract

Mathematical Epidemiology (ME) shares with Chemical Reaction Network Theory (CRNT) the basic mathematical structure of its dynamical systems. Despite this central similarity, methods from CRNT have been seldom applied to solving problems in ME. We explore here the applicability of CRNT methods to find bifurcations at endemic equilibria of ME models.

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通过反应网络方法寻找数学流行病学中的分岔。

数学流行病学（ME）与化学反应网络理论（CRNT）共享其动力系统的基本数学结构。尽管有这种中心相似性，来自CRNT的方法很少应用于解决ME中的问题。我们在此探讨了CRNT方法在ME模型的地方性均衡中寻找分支的适用性。

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

Chaos 物理-物理：数学物理

CiteScore

5.20

自引率

13.80%

发文量

448

审稿时长

2.3 months

期刊介绍： Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.