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Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion

A compartment epidemic model for infectious disease spreading is investigated, where movement of individuals is governed by spatial diffusion. The model includes infection age of the infected individuals and assumes a logistic growth of the susceptibles. Global well-posedness of the equations within...

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Autor principal: Walker, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471673/
https://www.ncbi.nlm.nih.gov/pubmed/37653263
http://dx.doi.org/10.1007/s00285-023-01980-y
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author Walker, Christoph
author_facet Walker, Christoph
author_sort Walker, Christoph
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description A compartment epidemic model for infectious disease spreading is investigated, where movement of individuals is governed by spatial diffusion. The model includes infection age of the infected individuals and assumes a logistic growth of the susceptibles. Global well-posedness of the equations within the class of nonnegative smooth solutions is shown. Moreover, spectral properties of the linearization around a steady state are derived. This yields the notion of linear stability which is used to determine stability properties of the disease-free and the endemic steady state.
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spelling pubmed-104716732023-09-02 Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion Walker, Christoph J Math Biol Article A compartment epidemic model for infectious disease spreading is investigated, where movement of individuals is governed by spatial diffusion. The model includes infection age of the infected individuals and assumes a logistic growth of the susceptibles. Global well-posedness of the equations within the class of nonnegative smooth solutions is shown. Moreover, spectral properties of the linearization around a steady state are derived. This yields the notion of linear stability which is used to determine stability properties of the disease-free and the endemic steady state. Springer Berlin Heidelberg 2023-08-31 2023 /pmc/articles/PMC10471673/ /pubmed/37653263 http://dx.doi.org/10.1007/s00285-023-01980-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Walker, Christoph
Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion
title Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion
title_full Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion
title_fullStr Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion
title_full_unstemmed Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion
title_short Well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion
title_sort well-posedness and stability analysis of an epidemic model with infection age and spatial diffusion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471673/
https://www.ncbi.nlm.nih.gov/pubmed/37653263
http://dx.doi.org/10.1007/s00285-023-01980-y
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