On synergies between mathematical epidemiology(ME)/ecology, and chemical reaction network theory (CRNT), and some open questions

Florin Avram (Universite de Pau)

Thu Feb 27, 16:00-16:30 (9 months ago)

Abstract: Mathematical epidemiology (ME) is both a domain of great practical interest, and a huge collection of open problems, which are of potential interest to all the mathematical community. A few of these have been tackled in the recent papers of Avram, Adenane, Halanay, Johnston and Vassena [VAA24, AAN24, AAHJ], using CRN methods like the inheritance of bifurcations, etc, which were previously unknown in ME.

In this paper we further explore the challenging question of finding Lyapunov functions for quadratic ME models. The question has already been touched upon, under models governed by matrices with various structures in ME (multi-group, multi-patch, multi-vector and meta-population models), ecology, and CRNT, and it was often found that a Lotka-Volterra type function may be found, whose coefficients are the left eigenvector of some matrix. Our goal is to unify the previous works, under a general ”eco-epidemiological” SIR-PH model introduced in Avram & al [AAB+23], and in particular to find conditions which guarantee two remarkable phenomena occurring sometimes in ME/ecology problems:

1. The ”strong (global stability) threshold property” (STP), which ensures the uniqueness of a fixed interior point, and the fact that it is globally stable whenever it exist, seems to have originated in ME and ecology Lajmanovich, Yorke, Beretta, Capasso, Li and Shuai [LY76, BC86, SvdD13].

2. The competitive exclusion principle (CEP) – see for example Iggidr, Kamgang, Sallet, Tewa, Bichara, Souza [IKST06], which may be viewed as an extension of the STP, to the case when several boundary points exist.

algebraic geometrydynamical systemsprobability

Audience: researchers in the topic

( video )


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Organizers: Daniele Cappelletti*, Stefan Müller*, Tung Nguyen*, Polly Yu*
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