Studying dynamics of the HIV epidemic: population-based data compared with sentinel surveillance in Zambia
Fylkesnes, K.; Ndhlovu, Z.; Kasumba, K.; Mubanga Musonda, R.; Sichone, M.
Aids 12(10): 1227-1234
1998
ISSN/ISBN: 0269-9370 PMID: 9677172 DOI: 10.1097/00002030-199810000-00015Document Number: 278225
Assessments of the dynamics of the HIV/AIDS epidemic in Africa are based largely on sentinel surveillance of antenatal clinic (ANC) attenders. The validity of use of this key sentinel group in terms of HIV prevalence estimation was evaluated in a population-based survey of 4195 Zambian adults recruited through stratified random cluster sampling in urban Lusaka and rural Mposhi district in 1995-96. The survey was carried out in catchment populations of clinics used for national HIV surveillance. Overall, ANC surveillance tended to underestimate HIV prevalence in the general population, but differences were not statistically significant in either the urban or the rural area. In Lusaka, the adjusted overall HIV prevalence among ANC attenders was 24.4% compared with 26.0% in the population-based survey. The rural estimates were 12.5% and 16.4%, respectively. Comparison of age-specific prevalences indicated ANC overestimated infection in teenagers and underestimated HIV in those aged 30 years and over. Prevalence rates increased steeply by age, at comparable increment levels among women in both samples, while men had stable prevalence rates by age. These findings suggest that extrapolations from surveillance data may indeed produce a distorted picture of the current dynamics of the HIV epidemic in the population at large. Women with higher educational attainment are underrepresented in the ANC surveys. The higher pregnancy and birth rates among HIV-negative compared to HIV-positive women is another potential source of bias, as is the high rate of ANC clients aged 18-19 years (66%, compared with 34% in the general population of women). Information on single year of age, educational level, and residence should be collected in sentinel surveillance systems to allow appropriate stratification. Since HIV prevalence in young people may be the most reliable marker of changes in incidence, sample size increases in the 15-19 year age group should be considered.