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dc.contributor.authorTocino García, Ángel Andrés 
dc.contributor.authorMartín del Rey, Ángel María 
dc.date.accessioned2024-02-05T12:45:08Z
dc.date.available2024-02-05T12:45:08Z
dc.date.issued2021
dc.identifier.issn1007-5704
dc.identifier.urihttp://hdl.handle.net/10366/155348
dc.description.abstract[EN]Most of stability analysis for stochastic epidemiological models involve Lyapunov functions. This work shows how sufficient conditions for the local stochastic asymptotic stability of a nonlinear system can be derived from the stability analysis of an ordinary linear system. In the particular stochastic SIR/SIRS models proposed here to illustrate the technique, the stability study of the obtained ordinary systems reduces to calculate the spectrum of the governing matrix.es_ES
dc.description.sponsorshipThis research has been partially supported by Ministerio de Ciencia, Innovación and Universidades (MCIU, Spain), Agencia Estatal de Investigación (AEI, Spain), and Fondo Europeo de Desarrollo Regional (FEDER, UE) under project NOTREDAMME.es_ES
dc.language.isoenges_ES
dc.publisherELSEVIERes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectStochastic differential systemses_ES
dc.subjectLinear test systemes_ES
dc.subjectMean square stabilityes_ES
dc.subjectStochastic stabilityes_ES
dc.subjectMathematical epidemiologyes_ES
dc.subjectSIRS Modeles_ES
dc.subjectBasic reproductive numberes_ES
dc.titleLocal stochastic stability of SIRS models without Lyapunov functionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.cnsns.2021.105956es_ES
dc.subject.unesco12 Matemáticases_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleCommunications in Nonlinear Science and Numerical Simulationes_ES
dc.volume.number103es_ES
dc.page.initial105956es_ES
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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