Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model

Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model

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 formu...

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Main Authors: Christopher Anaya, Clara Burgos, Juan-Carlos Cortés, Rafael-J. Villanueva
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2016/1758459
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spelling doaj-33789b0f7992458e8e4673e1900397412020-11-24T21:55:50ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092016-01-01201610.1155/2016/17584591758459Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based ModelChristopher Anaya0Clara Burgos1Juan-Carlos Cortés2Rafael-J. Villanueva3Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, Building 8G, Access C, 2nd Floor, Camino de Vera s/n, 46022 València, SpainInstituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, Building 8G, Access C, 2nd Floor, Camino de Vera s/n, 46022 València, SpainInstituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, Building 8G, Access C, 2nd Floor, Camino de Vera s/n, 46022 València, SpainInstituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, Building 8G, Access C, 2nd Floor, Camino de Vera s/n, 46022 València, SpainA 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.http://dx.doi.org/10.1155/2016/1758459
collection DOAJ
language English
format Article
sources DOAJ
author Christopher Anaya
Clara Burgos
Juan-Carlos Cortés
Rafael-J. Villanueva
spellingShingle Christopher Anaya
Clara Burgos
Juan-Carlos Cortés
Rafael-J. Villanueva
Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model
Abstract and Applied Analysis
author_facet Christopher Anaya
Clara Burgos
Juan-Carlos Cortés
Rafael-J. Villanueva
author_sort Christopher Anaya
title Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model
title_short Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model
title_full Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model
title_fullStr Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model
title_full_unstemmed Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model
title_sort capturing the data uncertainty change in the cocaine consumption in spain using an epidemiologically based model
publisher Hindawi Limited
series Abstract and Applied Analysis
issn 1085-3375
1687-0409
publishDate 2016-01-01
description 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.
url http://dx.doi.org/10.1155/2016/1758459
work_keys_str_mv AT christopheranaya capturingthedatauncertaintychangeinthecocaineconsumptioninspainusinganepidemiologicallybasedmodel
AT claraburgos capturingthedatauncertaintychangeinthecocaineconsumptioninspainusinganepidemiologicallybasedmodel
AT juancarloscortes capturingthedatauncertaintychangeinthecocaineconsumptioninspainusinganepidemiologicallybasedmodel
AT rafaeljvillanueva capturingthedatauncertaintychangeinthecocaineconsumptioninspainusinganepidemiologicallybasedmodel
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