Predicting cocaine consumption in Spain: A mathematical modelling approach

dc.contributor.affiliationFacultad de Administración y Dirección de Empresas
dc.contributor.affiliationDepartamento de Matemática Aplicada
dc.contributor.affiliationInstituto Universitario de Matemática Multidisciplinar
dc.contributor.authorSánchez, Emilioes_ES
dc.contributor.authorVillanueva Micó, Rafael Jacinto
dc.contributor.authorSantonja, Francisco Josées_ES
dc.contributor.authorRubio, Maríaes_ES
dc.date.accessioned2016-02-17T15:00:11Z
dc.date.available2016-02-17T15:00:11Z
dc.date.issued2011-04
dc.descriptionThis is an author's accepted manuscript of an article published in “Drugs: Education, Prevention, and Policy "; Volume 18, Issue 2, 2011; copyright Taylor & Francis; available online at: http://dx.doi.org/10.3109/09687630903443299es_ES
dc.description.abstractIn this article, we analyse the evolution of cocaine consumption in Spain and we predict consumption trends over the next few years. Additionally, we simulate some scenarios which aim to reduce cocaine consumption in the future (sensitivity analysis). Assuming cocaine dependency is a socially transmitted epidemic disease, this leads us to propose an epidemiological-type mathematical model to study consumption evolution. Model sensitivity analysis allows us to design strategies and analyse their effects on cocaine consumption. The model predicts that 3.5% of the Spanish population will be habitual cocaine consumers by 2015. The simulations carried out suggest that cocaine consumption prevention strategies are the best policy to reduce the habitual consumer population. In this article, we show that epidemiological-type mathematical models can be a useful tool in the analysis of the repercussion of health policy proposals in the short-time future. © 2011 Informa UK Ltd.es_ES
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationSánchez, E.; Villanueva Micó, RJ.; Santonja, FJ.; Rubio, M. (2011). Predicting cocaine consumption in Spain: A mathematical modelling approach. Drugs: Education, Prevention, and Policy. 18(2):108-115. doi:10.3109/09687630903443299es_ES
dc.description.issue2es_ES
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dc.description.upvformatpfin115es_ES
dc.description.upvformatpinicio108es_ES
dc.description.volume18es_ES
dc.identifier.doi10.3109/09687630903443299
dc.identifier.issn0968-7637
dc.identifier.urihttps://riunet.upv.es/handle/10251/60963
dc.languageIngléses_ES
dc.publisherTaylor & Francis: STM, Behavioural Science and Public Health Titleses_ES
dc.relation.ispartofDrugs: Education, Prevention, and Policyes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3109/09687630903443299es_ES
dc.relation.references10.2307/1403510es_ES
dc.relation.references10.1176/appi.ajp.2007.06111851es_ES
dc.relation.references10.2105/AJPH.2005.063289es_ES
dc.relation.references10.1016/j.camwa.2008.01.011es_ES
dc.relation.references10.1016/j.drugalcdep.2006.02.011es_ES
dc.relation.references10.1016/j.drugalcdep.2006.07.004es_ES
dc.relation.references10.1016/j.jtbi.2008.04.011es_ES
dc.relation.references10.1016/S0025-5564(02)00184-0es_ES
dc.relation.references10.1093/comjnl/7.4.308es_ES
dc.relation.references10.1016/S0167-4730(02)00039-5es_ES
dc.relation.references10.1016/j.camwa.2008.01.001es_ES
dc.relation.references10.1016/S0306-4603(00)00098-8es_ES
dc.relation.references10.1016/j.amc.2007.05.012es_ES
dc.relation.references10.1016/j.addbeh.2007.04.020es_ES
dc.relation.references10.1016/j.mbs.2006.10.008es_ES
dc.relation.senia39741es_ES
dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsAbiertoes_ES
dc.subject.classificationMATEMATICA APLICADAes_ES
dc.titlePredicting cocaine consumption in Spain: A mathematical modelling approaches_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier823
person.identifier.orcid0000-0002-0131-0532
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