Predicting cocaine consumption in Spain: A mathematical modelling approach

被引:20
|
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.
引用
收藏
页码:108 / 115
页数:8
相关论文
共 50 条
  • [1] A network model for the short-term prediction of the evolution of cocaine consumption in Spain
    Santonja, Francisco-Jose
    Lombana, Ivan-C.
    Rubio, Maria
    Sanchez, Emilio
    Villanueva, Javier
    MATHEMATICAL AND COMPUTER MODELLING, 2010, 52 (7-8) : 1023 - 1029
  • [2] The effects of hard water consumption on kidney function: insights from mathematical modelling
    Tambaru, David
    Djahi, Bertha S.
    Ndii, Meksianis Z.
    SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH) 2017, 2018, 1937
  • [3] Mathematical modelling of social obesity epidemic in the region of Valencia, Spain
    Santonja, F. -J.
    Villanueva, R. -J.
    Jodar, L.
    Gonzalez-Parra, G.
    MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS, 2010, 16 (01) : 23 - 34
  • [4] On immunotherapies and cancer vaccination protocols: A mathematical modelling approach
    Joshi, Badal
    Wang, Xueying
    Banerjee, Sayanti
    Tian, Haiyan
    Matzavinos, Anastasios
    Chaplain, Mark A. J.
    JOURNAL OF THEORETICAL BIOLOGY, 2009, 259 (04) : 820 - 827
  • [5] Mathematical modelling approach to cholera transmission with vaccination strategy
    Albalawi, Wedad
    Nisar, Kottakkaran Sooppy
    Aslam, Adnan
    Ozair, Muhammad
    Hussain, Takasar
    Shoaib, Muhammad
    Zahran, H. Y.
    ALEXANDRIA ENGINEERING JOURNAL, 2023, 75 : 191 - 207
  • [6] On mathematical modelling of measles disease via collocation approach
    Ahmed, Shahid
    Jahan, Shah
    Shah, Kamal
    Abdeljawad, Thabet
    AIMS PUBLIC HEALTH, 2024, 11 (02): : 628 - 653
  • [7] A BAYESIAN APPROACH FOR PREDICTING BUILDING COOLING AND HEATING CONSUMPTION
    Yan, Bin
    Malkawi, Ali M.
    BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, 2013, : 3137 - 3144
  • [8] Mathematical modelling of infectious diseases
    Keeling, M. J.
    Danon, L.
    BRITISH MEDICAL BULLETIN, 2009, 92 (01) : 33 - 42
  • [9] Predicting and Controlling Bacterial Wilt in Brinjal: A Mathematical Model Approach
    C. Pooja
    A. Sabarmathi
    Journal of Crop Health, 2025, 77 (3)
  • [10] Age-structured mathematical modeling approach to short-term diffusion of electronic commerce in Spain
    Cortes, J. -C.
    Lombana, I. -C.
    Villanueva, R. -J.
    MATHEMATICAL AND COMPUTER MODELLING, 2010, 52 (7-8) : 1045 - 1051