Long-time behavior of the heterogeneous SIRS epidemiological model

We study the long-time behavior of solutions of the SIRS model, a reaction–diffusion system that appears in epidemiology to describe the spread of epidemics. We allow the system to be heterogeneous periodic. Under some hypotheses on the coefficients, we prove that the solutions converge to an equilibrium that we identify and establish some estimates on the speed of propagation.

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Publication Details

Journal
Nonlinear Analysis
Published
2025-06-06
DOI
https://doi.org/10.1016/j.na.2025.113867
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

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article

Long-time behavior of the heterogeneous SIRS epidemiological model

Maxime Laborde, Romain Ducasse
Nonlinear Analysis
Mathematical and Theoretical Epidemiology and Ecology Models
article

Long-time behavior of the heterogeneous SIRS epidemiological model

Maxime Laborde, Romain Ducasse
article en

Abstract

We study the long-time behavior of solutions of the SIRS model, a reaction–diffusion system that appears in epidemiology to describe the spread of epidemics. We allow the system to be heterogeneous periodic. Under some hypotheses on the coefficients, we prove that the solutions converge to an equilibrium that we identify and establish some estimates on the speed of propagation.

Nonlinear AnalysisVol. 260
Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Sorbonne Université (FR), Laboratoire Jacques-Louis Lions (FR)
Agence Nationale de la Recherche, Université de Paris
Good health and well-being
Openalex Percentile: Top 100%
Mathematical and Theoretical Epidemiology and Ecology Models
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Long-time behavior of the heterogeneous SIRS epidemiological model — Maxime Laborde, Romain Ducasse · Nonlinear Analysis (2025) | TGRS Research Map | TGRS