Spreading speed for a time-periodic vector-borne disease system on a growing domain

This paper is concerned with the study of the asymptotic speed of spread for a timeperiodic vector-borne disease system posed on the whole space for the host population and on a time varying domain for the vector population.We firstly examine the spreading properties of a time-periodic Fisher-KPP equation posed on a growing domain by constructing appropriate sub- and super-solutions. Then, using the basic reproduction number of the corresponding kinetic system, we describe the long time behavior of the system. In particular when this basic reproduction number is larger than one, we prove that the epidemic is endemic and we derive some estimates for the spreading speed of the invasion of the disease. Finally, numerical simulations are carried out to illustrate our theoretical results.

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Publication Details

Journal
Mathematical Modelling of Natural Phenomena
Published
2025-01-01
DOI
https://doi.org/10.1051/mmnp/2024024
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
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article

Spreading speed for a time-periodic vector-borne disease system on a growing domain

David Manceau, Hongliang Li, Arnaud Ducrot
Mathematical Modelling of Natural Phenomena
Insect and Arachnid Ecology and Behavior
article

Spreading speed for a time-periodic vector-borne disease system on a growing domain

David Manceau, Hongliang Li, Arnaud Ducrot
article en

Abstract

This paper is concerned with the study of the asymptotic speed of spread for a timeperiodic vector-borne disease system posed on the whole space for the host population and on a time varying domain for the vector population.We firstly examine the spreading properties of a time-periodic Fisher-KPP equation posed on a growing domain by constructing appropriate sub- and super-solutions. Then, using the basic reproduction number of the corresponding kinetic system, we describe the long time behavior of the system. In particular when this basic reproduction number is larger than one, we prove that the epidemic is endemic and we derive some estimates for the spreading speed of the invasion of the disease. Finally, numerical simulations are carried out to illustrate our theoretical results.

Mathematical Modelling of Natural PhenomenaVol. 20
Openalex Percentile: Top 93%
Insect and Arachnid Ecology and Behavior
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