title: Growth patterns and scaling laws governing AIDS epidemic in Brazilian cities.
abstract: Brazil holds approximately 1/3 of population living infected with AIDS (acquired immunodeficiency syndrome) in Central and South Americas, and it was also the first developing country to implement a large-scale control and intervention program against AIDS epidemic. In this scenario, we investigate the temporal evolution and current status of the AIDS epidemic in Brazil. Specifically, we analyze records of annual absolute frequency of cases for more than 5000 cities for the first 33 years of the infection in Brazil. We found that (i) the annual absolute frequencies exhibit a logistic-type growth with an exponential regime in the first few years of the AIDS spreading; (ii) the actual reproduction number decaying as a power law; (iii) the distribution of the annual absolute frequencies among cities decays with a power law behavior; (iv) the annual absolute frequencies and the number of inhabitants have an allometric relationship; (v) the temporal evolution of the annual absolute frequencies have different profile depending on the average annual absolute frequencies in the cities. These findings yield a general quantitative description of the AIDS infection dynamics in Brazil since the beginning. They also provide clues about the effectiveness of treatment and control programs against the infection, that has had a different impact depending on the number of inhabitants of cities. In this framework, our results give insights into the overall dynamics of AIDS epidemic, which may contribute to select empirically accurate models.
authors.affiliation: Departamento de Física, Universidade Estadual de Maringá and National Institute of Science and Technology for Complex Systems, Maringá, Brazil.
authors.forename: Fernando Jose
authors.initials: FJ
authors.lastname: Antonio
authors.affiliation: Departamento de Física, Universidade Estadual de Maringá and National Institute of Science and Technology for Complex Systems, Maringá, Brazil.
authors.forename: Sergio
authors.initials: S
authors.lastname: de Picoli
authors.affiliation: Departamento de Análises Clínicas e Biomedicina, Universidade Estadual de Maringá, Maringá, Brazil.
authors.forename: Jorge Juarez Vieira
authors.initials: JJ
authors.lastname: Teixeira
authors.affiliation: Departamento de Física, Universidade Estadual de Maringá and National Institute of Science and Technology for Complex Systems, Maringá, Brazil.
authors.forename: Renio dos Santos
authors.initials: Rdos S
authors.lastname: Mendes
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology*; D000465:Algorithms; D001938:Brazil; D002947:Cities; D003625:Data Collection; D058872:Epidemics; D006801:Humans; D016015:Logistic Models; D008962:Models, Theoretical; D012959:Socioeconomic Factors; D013997:Time Factors