Cofactor infections and HIV epidemics in developing countries: implications for treatment

AIDS Care. 2008 Apr;20(4):488-94. doi: 10.1080/09540120701868311.

Abstract

This article shows that the burden of certain tropical disease infections, after controlling for other factors, is positively correlated with HIV prevalence. Using cross-national data and multivariate linear regression analysis, we investigate the determinants of HIV prevalence in low- and middle-income countries. We begin with social and economic variables used in other cross-national studies and then incorporate data on parasitic and infectious diseases endemic in poor populations, which are found to be strongly and significantly correlated with--and are potent predictors of--HIV prevalence. The paper concludes by arguing that treating tropical diseases may be a cost-effective add-on to HIV-prevention and -treatment programs, thus slowing the spread of HIV in disease-burdened populations.

MeSH terms

  • Cross-Sectional Studies
  • Developing Countries / statistics & numerical data*
  • Female
  • HIV Infections / epidemiology*
  • Humans
  • Malaria / epidemiology
  • Male
  • Models, Biological
  • Multivariate Analysis
  • Risk Factors
  • Risk-Taking
  • Sexual Behavior / statistics & numerical data
  • Sexually Transmitted Diseases / epidemiology