On Deterministic and Stochastic Multiple Pathogen Epidemic Models.

epidemic models finite element method persistence time stochastic differential equation

Journal

Epidemiologia (Basel, Switzerland)
ISSN: 2673-3986
Titre abrégé: Epidemiologia (Basel)
Pays: Switzerland
ID NLM: 9918333886406676

Informations de publication

Date de publication:
12 Aug 2021
Historique:
received: 02 06 2021
revised: 04 08 2021
accepted: 05 08 2021
entrez: 23 11 2022
pubmed: 12 8 2021
medline: 12 8 2021
Statut: epublish

Résumé

In this paper, we consider a stochastic epidemic model with two pathogens. In order to analyze the coexistence of two pathogens, we compute numerically the expectation time until extinction (the mean persistence time), which satisfies a stationary partial differential equation with degenerate variable coefficients, related to backward Kolmogorov equation. I use the finite element method in order to solve this equation, and we implement it in FreeFem++. The main conclusion of this paper is that the deterministic and stochastic epidemic models differ considerably in predicting coexistence of the two diseases and in the extinction outcome of one of them. Now, the main challenge would be to find an explanation for this result.

Identifiants

pubmed: 36417229
pii: epidemiologia2030025
doi: 10.3390/epidemiologia2030025
pmc: PMC9620904
doi:

Types de publication

Journal Article

Langues

eng

Pagination

325-337

Subventions

Organisme : Ministerio de Ciencia Tecnología y Telecomunicaciones
ID : PGC2018-094522-B-100
Organisme : Eusko Jaurlaritza
ID : IT1247-19

Références

Bull Math Biol. 2004 Jul;66(4):841-64
pubmed: 15210322

Auteurs

Fernando Vadillo (F)

Department of Mathematics, University of the Basque Country (UPV/EHU), Apdo 644, 48080 Bilbao, Spain.

Classifications MeSH