Predicting cocaine consumption in Spain: A mathematical modelling approach

被引:17
|
作者
Sanchez, Emilio [2 ]
Villanueva, Rafael-Jacinto [3 ]
Santonja, Francisco-Jose [1 ]
Rubio, Maria [3 ]
机构
[1] Univ Valencia, Dept Estadist & Invest Operat, Fac Matemat, E-46100 Valencia, Spain
[2] Dept 10 Conselleria Sanitat, Unidad Conductas Adict Catarroja, Valencia, Spain
[3] Univ Politecn Valencia, Ciudad Politecn Innovac, Inst Matemat Multidisciplinar, Valencia 46022, Spain
关键词
DOUBLE-BLIND; SENSITIVITY; UNCERTAINTY; POPULATION; PRESSURE; DYNAMICS; DISEASES; PLACEBO;
D O I
10.3109/09687630903443299
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
In 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.
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页码:108 / 115
页数:8
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