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Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model

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Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model

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dc.contributor.author Anaya, Christopher es_ES
dc.contributor.author Burgos Simon, Clara es_ES
dc.contributor.author Cortés, J.-C. es_ES
dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.date.accessioned 2017-04-27T15:08:56Z
dc.date.available 2017-04-27T15:08:56Z
dc.date.issued 2016
dc.identifier.issn 1085-3375
dc.identifier.uri http://hdl.handle.net/10251/80140
dc.description Copyright © 2016 Christopher Anaya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. es_ES
dc.description.abstract [EN] A probabilistic model is proposed to study the transmission dynamics of the cocaine consumption in Spain during the period of 1995–2011. Using the so-called probabilistic fitting technique, we study if the model is able to capture the data uncertainty coming from surveys. The proposed model is formulated through a nonlinear system of difference equations whose coefficients are treated as stochastic processes. A discussion regarding the usefulness and limitations of probabilistic fitting technique in order to capture the data uncertainty of the proposed model is presented. es_ES
dc.description.sponsorship This work has been partially supported by the Ministerio de Econom´ıa y Competitividad (Grant MTM2013-41765-P).
dc.language Inglés es_ES
dc.publisher Hindawi Publishing Corporation es_ES
dc.relation.ispartof Abstract and Applied Analysis es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2016/1758459
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//MTM2013-41765-P/ES/METODOS COMPUTACIONALES PARA ECUACIONES DIFERENCIALES ALEATORIAS: TEORIA Y APLICACIONES/ es_ES
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.description.bibliographicCitation Anaya, C.; Burgos Simon, C.; Cortés, J.; Villanueva Micó, RJ. (2016). Capturing the data uncertainty change in the cocaine consumption in Spain using an epidemiologically based model. Abstract and Applied Analysis. 2016:1-9. https://doi.org/10.1155/2016/1758459 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1155/2016/1758459 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2016 es_ES
dc.relation.senia 321602 es_ES
dc.identifier.eissn 1687-0409
dc.contributor.funder Ministerio de Economía y Competitividad
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