dc.creator | Caraballo Garrido, Tomás | es |
dc.creator | El Fatini, Mohamed | es |
dc.creator | El Khalifi, Mohamed | es |
dc.creator | Gerlach, Richard | es |
dc.creator | Pettersson, Roger | es |
dc.date.accessioned | 2020-02-03T08:41:05Z | |
dc.date.available | 2020-02-03T08:41:05Z | |
dc.date.issued | 2020-04 | |
dc.identifier.citation | Caraballo Garrido, T., El Fatini, M., El Khalifi, M., Gerlach, . y Pettersson, R. (2020). Analysis of a stochastic distributed delay epidemic model with relapse and Gamma distribution kernel. Chaos, Solitons and Fractals, 133 (109643) | |
dc.identifier.issn | 0960-0779 | es |
dc.identifier.uri | https://hdl.handle.net/11441/92693 | |
dc.description.abstract | In this work, we investigate a stochastic epidemic model with relapse and distributed delay. First, we prove that our model possesses and unique global positive solution. Next, by means of the Lyapunov method, we determine some sufficient criteria for the extinction of the disease and its persistence. In addition, we establish the existence of a unique stationary distribution to our model. Finally, we provide some numerical simulations for the stochastic model to assist and show the applicability and efficiency of our results. | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |
dc.description.sponsorship | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | es |
dc.format | application/pdf | es |
dc.language.iso | por | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Chaos, Solitons and Fractals, 133 (109643) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Epidemic model | es |
dc.subject | Distributed delay | es |
dc.subject | Extinction | es |
dc.subject | Persistence | es |
dc.subject | Stationary distribution | es |
dc.title | Analysis of a stochastic distributed delay epidemic model with relapse and Gamma distribution kernel | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico | es |
dc.relation.projectID | PGC2018-096540-B-I00 | es |
dc.relation.publisherversion | https://reader.elsevier.com/reader/sd/pii/S0960077920300424?token=FA177EA1B3018FD7EB0C634502C5150253362403B0F67EEAF61ABADF1FD957ABC4C7A66F3E32E12155D001C5DE0F1008 | es |
dc.identifier.doi | 10.1016/j.chaos.2020.109643 | es |
dc.contributor.group | Universidad de Sevilla. FQM314: Análisis Estocástico de Sistemas Diferenciales | es |
idus.format.extent | 22 p. | es |
dc.journaltitle | Chaos, Solitons and Fractals | es |
dc.publication.volumen | 133 | es |
dc.publication.issue | 109643 | es |