Age patterns of incidence and age patterns of HIV infection
October 2005, Mwanza, Tanzania
This workshop brought together for the first time statisticians and epidemiologists responsible for demographic surveillance at each of the sites and facilitators from LSHTM. Introductory activities included short reviews of data collection at each site, and conversion of the required data provided by each site to a Stata data set.
Analysis topics included:
- The relationship between prevalence change and incidence
- Standardization for comparing prevalence
- Life table techniques for measuring incidence level
- Calculation and standardization of age-specific incidence data
- Rate ratios for comparing incidence patterns in sub-populations
- Poisson regression methods for analysing risk factors
These techniques were demonstrated using data from the Kisesa cohort study, participants were helped to adapt the Stata do files for use with their own data set.
Workshop outputs
Presentation at XVII International AIDS conference, Mexico City in 2008
Journal papers
- Barnighausen T, Hosegood V, Timæus I, Newel lM. The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa. AIDS 2007;21(suppl 7):S29-38.
- Bärnighausen T, Tanser F, Gqwede Z, Mbizana C, Herbst K, Newell ML. High HIV incidence in a community with high HIV prevalence in rural South Africa: findings from a prospective population-based study AIDS 2008;22(139-144).
- Lopman BA, Nyamukapa C, Mushati P, Mupambireyi Z, Mason P, Garnett G, et al.M HIV incidence in 3 years of follow-up of a Zimbabwe cohort – 1998-2000 to 2001-03: contributions of proximate and underlying determinants to transmission. Int J Epidemiol 2008;37:88-105.
- Mwita W, Urassa M, Isingo R, Ndege M, Marston M, Slaymaker E, et al. HIV prevalence and incidence in rural Tanzania: results from 10 year follow-up in an open cohort study. JAIDS 2007;46(5):616-623.
