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dc.contributor.authorGutiérrez-Jara, Juan P.
dc.contributor.authorCórdova-Lepe, Fernando
dc.contributor.authorMuñoz-Quezada, María Teresa
dc.date.accessioned2023-03-22T17:40:03Z
dc.date.available2023-03-22T17:40:03Z
dc.date.issued2019
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/4550
dc.description.abstractThis paper presents a novel epidemiological transmission model of a population affected by two different susceptible-infected-susceptible infectious diseases. For each disease, individuals fall into one of the two susceptibility conditions in which one of the diseases has the highest occurrence level. This model is unique in assuming that: (a) if an individual is infected by one disease, their susceptibility to the other disease is increased; (b) when an individual recovers from a disease they become less susceptible to it, i.e. they acquire partial immunity. The model captures these two assumptions by utilizing a coupled system of differential equations. Dynamic analysis of the system is based on basic reproductive number theory, and pattern visualization was performed using numerical simulation.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceMathematical Biosciences, 309, 66-77es_CL
dc.subjectSIS modeles_CL
dc.subjectSusceptibility classeses_CL
dc.subjectBasic reproductive numberes_CL
dc.titleDynamics between infectious diseases with two susceptibility conditions: a mathematical modeles_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias Básicases_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.indexacionIsies_CL
dc.ucm.urisibib2.ucm.cl:2048/login?url=https://www.sciencedirect.com/science/article/pii/S0025556418305455es_CL
dc.ucm.doidoi.org/10.1016/j.mbs.2019.01.005es_CL


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