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Dynamics of epidemic spreading on connected graphs
We propose a new model that describes the dynamics of epidemic spreading on connected graphs. Our model consists in a PDE-ODE system where at each vertex of the graph we have a standard SIR model and connections between vertices are given by heat equations on the edges supplemented with Robin like b...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051836/ https://www.ncbi.nlm.nih.gov/pubmed/33864137 http://dx.doi.org/10.1007/s00285-021-01602-5 |
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author | Besse, Christophe Faye, Grégory |
author_facet | Besse, Christophe Faye, Grégory |
author_sort | Besse, Christophe |
collection | PubMed |
description | We propose a new model that describes the dynamics of epidemic spreading on connected graphs. Our model consists in a PDE-ODE system where at each vertex of the graph we have a standard SIR model and connections between vertices are given by heat equations on the edges supplemented with Robin like boundary conditions at the vertices modeling exchanges between incident edges and the associated vertex. We describe the main properties of the system, and also derive the final total population of infected individuals. We present a semi-implicit in time numerical scheme based on finite differences in space which preserves the main properties of the continuous model such as the uniqueness and positivity of solutions and the conservation of the total population. We also illustrate our results with a collection of numerical simulations for a selection of connected graphs. |
format | Online Article Text |
id | pubmed-8051836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80518362021-04-19 Dynamics of epidemic spreading on connected graphs Besse, Christophe Faye, Grégory J Math Biol Article We propose a new model that describes the dynamics of epidemic spreading on connected graphs. Our model consists in a PDE-ODE system where at each vertex of the graph we have a standard SIR model and connections between vertices are given by heat equations on the edges supplemented with Robin like boundary conditions at the vertices modeling exchanges between incident edges and the associated vertex. We describe the main properties of the system, and also derive the final total population of infected individuals. We present a semi-implicit in time numerical scheme based on finite differences in space which preserves the main properties of the continuous model such as the uniqueness and positivity of solutions and the conservation of the total population. We also illustrate our results with a collection of numerical simulations for a selection of connected graphs. Springer Berlin Heidelberg 2021-04-16 2021 /pmc/articles/PMC8051836/ /pubmed/33864137 http://dx.doi.org/10.1007/s00285-021-01602-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Besse, Christophe Faye, Grégory Dynamics of epidemic spreading on connected graphs |
title | Dynamics of epidemic spreading on connected graphs |
title_full | Dynamics of epidemic spreading on connected graphs |
title_fullStr | Dynamics of epidemic spreading on connected graphs |
title_full_unstemmed | Dynamics of epidemic spreading on connected graphs |
title_short | Dynamics of epidemic spreading on connected graphs |
title_sort | dynamics of epidemic spreading on connected graphs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051836/ https://www.ncbi.nlm.nih.gov/pubmed/33864137 http://dx.doi.org/10.1007/s00285-021-01602-5 |
work_keys_str_mv | AT bessechristophe dynamicsofepidemicspreadingonconnectedgraphs AT fayegregory dynamicsofepidemicspreadingonconnectedgraphs |