A network model for the short-term prediction of the evolution of cocaine consumption in Spain

被引:7
作者
Santonja, Francisco-Jose [1 ,2 ]
Lombana, Ivan-C. [1 ]
Rubio, Maria [1 ]
Sanchez, Emilio [3 ]
Villanueva, Javier [4 ]
机构
[1] Univ Politecn Valencia, Inst Matemat Multidisciplinar, Valencia 46022, Spain
[2] Univ Valencia, Dept Estadist & Invest Operat, E-46003 Valencia, Spain
[3] Agencia Valenciana Salud, Unidad Conductas Adict Catarroja, Valencia, Spain
[4] Ctr Estudios Super Felipe II, Madrid, Spain
关键词
Cocaine consumption; Network modeling; Short-term predictions; Confidence intervals; LARGE SOCIAL NETWORK; DOUBLE-BLIND; SENSITIVITY; UNCERTAINTY; DYNAMICS; PLACEBO; SMOKING;
D O I
10.1016/j.mcm.2010.02.032
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Cocaine consumption is a social problem with acute consequences and its dependency can be regarded as a health concern of social transmission. This fact leads us to develop the idea that its transmission dynamics can be studied using epidemiological mathematical models. Under this point of view, in this paper we propose a network model to study the short-term evolution of the cocaine consumer subpopulations. The model parameters are obtained from data source and from an analogue continuous model. Sensitivity of the model parameters is studied. The parameters are associated with prevention and treatment policies and the sensitivity study gives us information about which parameters have more incidence on the future evolution of consumers. Results and discussion are also presented. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1023 / 1029
页数:7
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