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Dynamical behaviour of epidemiological models with sub-optimal immunity and nonlinear incidence

dc.contributor.authorGomes, M. G. M.en_US
dc.contributor.authorMargheri, A.en_US
dc.contributor.authorMedley, G. F.en_US
dc.contributor.authorRebelo, C.en_US
dc.date.accessioned2009-10-08T14:46:01Z
dc.date.available2009-10-08T14:46:01Z
dc.date.created2005en_US
dc.date.issued2005-10en_US
dc.date.updated2009-10-08T14:46:02Z
dc.description.abstractIn this paper we analyze the dynamics of two families of epidemiological models which correspond to transitions from the SIR (susceptible-infectious-resistant) to the SIS (susceptible-infectious-susceptible) frameworks. In these models we assume that the force of infection is a nonlinear function of density of infectious individuals, I. Conditions for the existence of backwards bifurcations, oscillations and Bogdanov-Takens points are given
dc.identifier.citationGomes MG, Margheri A, Medley GF, Rebelo C.(2005)."Dynamical behaviour of epidemiological models with sub-optimal immunity and nonlinear incidence".Journal of mathematical biology
dc.identifier.issn1432-1416
dc.identifier.urihttp://hdl.handle.net/10400.7/51
dc.language.isoeng
dc.subjectModels, Biological
dc.subjectEpidemiology/statistics & numerical data
dc.subjectNonlinear Dynamics
dc.subjectModels, Immunological
dc.titleDynamical behaviour of epidemiological models with sub-optimal immunity and nonlinear incidenceen_US
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccess
rcaap.typearticle

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