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dc.contributor.authorJornet-Sanz, Marc
dc.contributor.authorCorberán-Vallet, Ana
dc.contributor.authorSantonja, Francisco
dc.contributor.authorVillanueva, Rafael
dc.identifier.citationJornet-Sanz, M. [et al.]. A Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus. "SORT", 21 Juny 2017, vol. 1, p. 159-176.
dc.description.abstractOur objective in this paper is to model the dynamics of respiratory syncytial virus in the region of Valencia (Spain) and analyse the effect of vaccination strategies from a health-economic point of view. Compartmental mathematical models based on differential equations are commonly used in epidemiology to both understand the underlying mechanisms that influence disease transmission and analyse the impact of vaccination programs. However, a recently proposed Bayesian stochastic susceptible-infected-recovered-susceptible model in discrete-time provided an improved and more natural description of disease dynamics. In this work, we propose an extension of that stochastic model that allows us to simulate and assess the effect of a vaccination strategy that consists on vaccinating a proportion of newborns.
dc.format.extent18 p.
dc.publisherInstitut d'Estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.otherInfectious diseases
dc.subject.otherrespiratory syncytial virus (RSV)
dc.subject.otherdiscrete-time epidemic model
dc.subject.otherstochastic compartmental model
dc.subject.otherBayesian analysis
dc.subject.otherintervention strategies
dc.titleA Bayesian stochastic SIRS model with a vaccination strategy for the analysis of respiratory syncytial virus
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access

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