title: [Dynamic models and social networks: a review and reflections on their contribution to understanding the HIV epidemic].
abstract: Due to certain specificities in the HIV epidemic, its spread has escaped the random transmission pattern of other infectious diseases. Observation of the epidemic has shown that individual behavior - relational patterns among individuals - plays a crucial role in HIV transmission and that strategies to prevent the epidemic's spread should take this factor into account in order to foster efficient allocation of existing resources. Mathematical and statistical models applying the behavioral approach to the epidemic have estimated interactions between groups whose characteristics and behaviors varied. However, such models have been more "post-dictive" than predictive, due to the inadequate representation of social structures in populations through which infectious agents spread. The social network methodology thus came to be applied to the approach to the HIV epidemic. This article discusses alternatives for the application of this methodology to the Brazilian epidemic, considering that sociometric risk networks structure the flow of infectious agents in communities, creating unique opportunities to interrupt their spread.
authors.affiliation: Departamento de Matemática e Estatística, Universidade do Rio de Janeiro, Brasil.
authors.forename: M T
authors.initials: MT
authors.lastname: Barbosa
authors.forename: M R
authors.initials: MR
authors.lastname: Byington
authors.forename: C J
authors.initials: CJ
authors.lastname: Struchiner
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology* / Q000635:transmission; D001938:Brazil / Q000453:epidemiology; D019058:Community Networks; D004196:Disease Outbreaks; D004522:Educational Status; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D012944:Social Support