On Deterministic and Stochastic Multiple Pathogen Epidemic Models
dc.contributor.author | Vadillo Arroyo, Fernando | |
dc.date.accessioned | 2021-09-27T07:56:08Z | |
dc.date.available | 2021-09-27T07:56:08Z | |
dc.date.issued | 2021-08-12 | |
dc.identifier.citation | Epidemiologia 2(3) : 325-337 (2021) | es_ES |
dc.identifier.issn | 2673-3986 | |
dc.identifier.uri | http://hdl.handle.net/10810/53142 | |
dc.description.abstract | 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. | es_ES |
dc.description.sponsorship | Spanish Ministry of Sciences Innovation and Universities with the project PGC2018-094522-B-100 and the Basque Government with the project IT1247-19. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PGC2018-094522-B-100 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | persistence time | es_ES |
dc.subject | epidemic models | es_ES |
dc.subject | stochastic differential equation | es_ES |
dc.subject | finite element method | es_ES |
dc.title | On Deterministic and Stochastic Multiple Pathogen Epidemic Models | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2021-09-25T23:33:14Z | |
dc.rights.holder | 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2673-3986/2/3/25/htm | es_ES |
dc.identifier.doi | 10.3390/epidemiologia2030025 | |
dc.departamentoes | Matemáticas | |
dc.departamentoeu | Matematika |
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Except where otherwise noted, this item's license is described as 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).