title: [Mathematical modelling of drug addiction].
abstract: OBJECTIVE
  To describe and assess the phenomenon of drug addiction by the use of a system of linear differential equations.
  
  
  METHODS
  For analytical purposes, the study population (1020 individuals) was divided into three groups: likely to use drugs, drug users, and recovered (S-D model).
  
  
  RESULTS
  The number of individuals likely to use drugs decreases with the increase in the number of infected ones; thus, in about 10 days, the number of infected individuals matches the number of those likely to use drugs. If the global parameters of the study model are changed, a more rapid increase in the number of infected individuals is noticed. Also noticed is the fact that the number of recoveries is likely to decrease with the increase in the number of infected individuals.
  
  
  CONCLUSIONS
  Although numerical techniques are often preferable, the analytical ones have some advantages. Thus, an analytical approach may provide a deeper understanding of the mechanism of a given phenomenon, so it is more convenient to describe the state variables in terms of parameters than in terms of numerical approximation. To assess to role of hazard and uncertain associations in the future statistical methods will be used.
authors.affiliation: Universitatea de Medicină şi Farmacie Gr. T. Popa Iaşi, Facultatea de Medicină, Departament interdisciplinar.
authors.forename: M
authors.initials: M
authors.lastname: Ilea
authors.forename: M
authors.initials: M
authors.lastname: Turnea
authors.forename: D
authors.initials: D
authors.lastname: Arotăriţei
authors.forename: C M
authors.initials: CM
authors.lastname: Toma
mesh_terms: D006801:Humans; D016014:Linear Models; D008432:Mathematical Computing; D008962:Models, Theoretical; D019966:Substance-Related Disorders