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dc.creatorBoukanjime, Brahimes
dc.creatorCaraballo Garrido, Tomáses
dc.creatorEl Fatini, Mohamedes
dc.creatorEl Khalifi, Mohamedes
dc.date.accessioned2021-02-01T10:26:51Z
dc.date.available2021-02-01T10:26:51Z
dc.date.issued2020-10-16
dc.identifier.citationBoukanjime, B., Caraballo Garrido, T., El Fatini, M. y El Khalifi, M. (2020). Dynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switching. Chaos, Solitons & Fractals, 141 (Diciembre), 110361-1-110361-10.
dc.identifier.issn0960-0779es
dc.identifier.urihttps://hdl.handle.net/11441/104388
dc.description.abstractIn this paper, we analyze a stochastic coronavirus (COVID-19) epidemic model which is perturbed by both white noise and telegraph noise incorporating general incidence rate. Firstly, we investigate the existence and uniqueness of a global positive solution. Then, we establish the stochastic threshold for the extinction and the persistence of the disease. The data from Indian states, are used to confirm the results established along this paper.es
dc.formatapplication/pdfes
dc.format.extent10 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofChaos, Solitons & Fractals, 141 (Diciembre), 110361-1-110361-10.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectStochastic COVID-19 epidemic modeles
dc.subjectGeneral incidencees
dc.subjectWhite noisees
dc.subjectTelegraph noisees
dc.titleDynamics of a stochastic coronavirus (COVID-19) epidemic model with Markovian switchinges
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numéricoes
dc.relation.publisherversionhttps://doi.org/10.1016/j.chaos.2020.110361es
dc.identifier.doi10.1016/j.chaos.2020.110361es
dc.journaltitleChaos, Solitons & Fractalses
dc.publication.volumen141es
dc.publication.issueDiciembrees
dc.publication.initialPage110361-1es
dc.publication.endPage110361-10es

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