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

Christopher Anaya, Clara Burgos, Juan-Carlos Cortés and Rafael-J. Villanueva

Abstract and Applied Analysis, 2016, vol. 2016, 1-9

Abstract:

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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:1758459

DOI: 10.1155/2016/1758459

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