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dc.contributor.authorLegarreta Gallo, Carmen
dc.contributor.authorDe la Sen Parte, Manuel ORCID
dc.contributor.authorAlonso Quesada, Santiago
dc.date.accessioned2024-02-06T17:07:10Z
dc.date.available2024-02-06T17:07:10Z
dc.date.issued2024-01-11
dc.identifier.citationMathematics 12(2) : (2024) // Article ID 245es_ES
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10810/64699
dc.description.abstractThe COVID-19 outbreak has brought to the forefront the importance of predicting and controlling an epidemic outbreak with policies such as vaccination or reducing social contacts. This paper studies an SIHR epidemic model characterized by susceptible (S), non-seriously infected (I), hospitalized (H), and recovered (R) subpopulations, and dynamic vaccination; vaccination itself and H are fed back, and its dynamics are also determined by a free-design time-dependent function and parameters
dc.description.sponsorshipThis research received support from the Basque Government through grant IT1555-22.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/
dc.subjectepidemiological modeles_ES
dc.subjectSIHR modeles_ES
dc.subjectCOVID-19es_ES
dc.subjectfeedback vaccinationes_ES
dc.subjectregular vaccinationes_ES
dc.subjectimpulsive vaccinationes_ES
dc.titleOn the Properties of a Newly Susceptible, Non-Seriously Infected, Hospitalized, and Recovered Subpopulation Epidemic Modeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2024-01-26T14:11:05Z
dc.rights.holder© 2024 by the authors. 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.publisherversionhttps://www.mdpi.com/2227-7390/12/2/245es_ES
dc.identifier.doi10.3390/math12020245
dc.departamentoesElectricidad y electrónica
dc.departamentoeuElektrizitatea eta elektronika


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© 2024 by the authors. 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/).
Except where otherwise noted, this item's license is described as © 2024 by the authors. 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/).