HIV-1 seroprevalence in the general population of Salvador, Bahia State, Northeast Brazil

Cad Saude Publica. 2007 Jan;23(1):25-32. doi: 10.1590/s0102-311x2007000100004.

Abstract

To estimate HIV-1 seroprevalence in the general population of Salvador, Bahia, Brazil, we conducted a cross-sectional survey of 3,437 residents from 1998 to 2000. Subjects were drawn from 30 sentinel areas representing a wide range of living conditions. Plasma samples were screened for HIV-1 antibodies by ELISA and confirmed by immunofluorescent assay. Subtype determination by HMA was performed after proviral DNA amplification. Phylogenetic analysis using parsimony was performed with the neighbor-joining method. Overall HIV-1 seroprevalence was 0.55% (19/3,446): 0.8% for men and 0.36% for women. Seroprevalence was higher in the 31-45-year age group (1%) and among persons with family income less than twice the minimum wage (0.78%) as compared to 0.33% for the higher income group. Syphilis was detected in 37% of HIV seropositive individuals. Phylogenetic inferences identified 10 samples as subtype B in the env region and 2 samples with Benv/Fgag/Fpol and Fenv/Bgag. Age > or = 30 years, male gender, and income < or = 2 times the minimum wage were identified as risk factors for HIV-1 infection. Extrapolating the proportion of seropositive individuals to Salvador, the number of HIV-1 infected individuals was estimated at 13,750.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Brazil / epidemiology
  • Child
  • Child, Preschool
  • Enzyme-Linked Immunosorbent Assay
  • Epidemiologic Methods
  • Female
  • Genes, Viral / genetics*
  • HIV Antibodies / blood*
  • HIV Infections / epidemiology*
  • HIV Infections / virology
  • HIV Seroprevalence*
  • HIV-1 / genetics*
  • HIV-1 / immunology
  • HIV-1 / isolation & purification
  • Hepatitis C Antibodies / analysis
  • Humans
  • Infant
  • Male
  • Middle Aged
  • Molecular Epidemiology
  • Sex Distribution
  • Socioeconomic Factors
  • Urban Population

Substances

  • HIV Antibodies
  • Hepatitis C Antibodies