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Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia

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Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia

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dc.contributor.author Acedo Rodríguez, Luis es_ES
dc.contributor.author Moraño Fernández, José Antonio es_ES
dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.contributor.author Villanueva Oller, Francisco Javier es_ES
dc.contributor.author Díez Domingo, Javier es_ES
dc.date.accessioned 2017-06-19T07:24:59Z
dc.date.available 2017-06-19T07:24:59Z
dc.date.issued 2011-10
dc.identifier.issn 0895-7177
dc.identifier.uri http://hdl.handle.net/10251/83130
dc.description.abstract [EN] Seasonal fluctuations in the incidence of several respiratory infections are a feature of epidemiological surveys all around the world. This phenomenon is characteristic of influenza and respiratory syncytial virus pandemics. However, the explanation of the seasonal outbreaks of these diseases remains poorly understood. Many statistical studies have been carried out in order to provide a correlation of the outbreaks with climatic or social factors without achieving a definitive conclusion. Here we show that, in a random social network, self-sustained seasonal epidemics emerge as a process modulated by the infection probability and the immunity period after recovering from the infection. This is a purely endogenous phenomenon that does not require any exogenous forcing. Assuming that this is the dominant mechanism for seasonal epidemics, many implications for public health policies for infectious respiratory diseases could be drawn. (C) 2010 Elsevier Ltd. All rights reserved. es_ES
dc.description.sponsorship Supported by a grant from the Universidad Politecnica de Valencia PAID-06-09 ref: 2588. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation UPV/PAID-06-09 ref: 2588
dc.relation.ispartof Mathematical and Computer Modelling es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Random networks es_ES
dc.subject RSV epidemic es_ES
dc.subject Social networks es_ES
dc.subject Dominant mechanism es_ES
dc.subject Public health policies es_ES
dc.subject Random network es_ES
dc.subject Respiratory syncytial virus es_ES
dc.subject Seasonal fluctuations es_ES
dc.subject Social factor es_ES
dc.subject Statistical study es_ES
dc.subject Valencia es_ES
dc.subject Epidemiology es_ES
dc.subject Viruses es_ES
dc.subject Computer viruses es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.mcm.2010.11.068
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Acedo Rodríguez, L.; Moraño Fernández, JA.; Villanueva Micó, RJ.; Villanueva Oller, FJ.; Díez Domingo, J. (2011). Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia. Mathematical and Computer Modelling. 54(7-8):1650-1654. doi:10.1016/j.mcm.2010.11.068 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.mcm.2010.11.068 es_ES
dc.description.upvformatpinicio 1650 es_ES
dc.description.upvformatpfin 1654 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 54 es_ES
dc.description.issue 7-8 es_ES
dc.relation.senia 198856 es_ES
dc.contributor.funder Universitat Politècnica de València


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