Cross-sectional survey

Short item Published on November 28, 2011

Sexual connectedness and HIV infection in disadvantaged communities around Cape Town

The sexual network structure and the distribution of HIV remain inadequately understood, especially with regard to the role of concurrency and age disparity in relationships, and how these network characteristics correlate with each other and other risk factors. Additionally, sources of bias, such as social desirability bias and inaccurate recall, make it difficult to obtain Read More

Published on March 22, 2010 by

HIV incidence using cross-sectional surveys: recent theoretical developments

Prevalence and incidence are the two most important indicators of the state of an epidemic. The most common way in which incidence is measured is by follow-up of an initially uninfected cohort. For infections with a relatively short duration, another method for estimating incidence is available using a cross-sectional survey. Unfortunately, HIV has a long asymptomatic phase before the onset of immune failure and AIDS. In this article a way to estimate HIV incidence using biomarkers in cross-sectional surveys is described and the challenges of this approach are discussed.

Published on November 22, 2009 by

Age-disparate relationships and condom use among young people in Swaziland

In Swaziland the risk of getting HIV infected is significantly higher among young women compared to young men. These differences cannot be explained by anatomical and hormonal factors that make young women particularly vulnerable to HIV infection. In this article the results of a secondary analysis of the Swaziland Demographic and Health Survey 2006-2007 data is described. In particular, trends and variability in age differences between young men and their female sexual partners are explored. In addition the magnitude of the age difference between sexual partners and the association with consistent condom use is examined.