Estimating district HIV prevalence in Zambia using small-area estimation methods (SAE)

Population Health Metrics

Felix Masiye¹  Chris Mweemba²  Wilbroad Mutale²  Peter Hangoma²  Isaac Fwemba³ 

[1] Department of Economics, School of Humanities and Social Science, University of Zambia, P.O Box 32379, Great East Road Campus, Lusaka, Zambia;Department of Health Policy, Systems and Management, School of Public Health, University of Zambia, P.O. Box 50110, Ridgeway Campus, Lusaka, Zambia;Department of Health Policy, Systems and Management, School of Public Health, University of Zambia, P.O. Box 50110, Ridgeway Campus, Lusaka, Zambia;School of Public Health, University of Ghana, P.O. Box LG 571, Accra, Ghana;

关键词: SAE;    Small-area estimation;    HIV;    Prevalence;    District;    Fay–Herriot;    Auxiliary information;   

DOI  :  10.1186/s12963-022-00286-3

来源: Springer

【 摘 要 】

BackgroundThe HIV/AIDS pandemic has had a very devastating impact at a global level, with the Eastern and Southern African region being the hardest hit. The considerable geographical variation in the pandemic means varying impact of the disease in different settings, requiring differentiated interventions. While information on the prevalence of HIV at regional and national levels is readily available, the burden of the disease at smaller area levels, where health services are organized and delivered, is not well documented. This affects the targeting of HIV resources. There is need, therefore, for studies to estimate HIV prevalence at appropriate levels to improve HIV-related planning and resource allocation.MethodsWe estimated the district-level prevalence of HIV using Small-Area Estimation (SAE) technique by utilizing the 2016 Zambia Population-Based HIV Impact Assessment Survey (ZAMPHIA) data and auxiliary data from the 2010 Zambian Census of Population and Housing and the HIV sentinel surveillance data from selected antenatal care clinics (ANC). SAE models were fitted in R Programming to ascertain the best HIV predicting model. We then used the Fay–Herriot (FH) model to obtain weighted, more precise and reliable HIV prevalence for all the districts.ResultsThe results revealed variations in the district HIV prevalence in Zambia, with the prevalence ranging from as low as 4.2% to as high as 23.5%. Approximately 32% of the districts (n = 24) had HIV prevalence above the national average, with one district having almost twice as much prevalence as the national level. Some rural districts have very high HIV prevalence rates.ConclusionsHIV prevalence in Zambian is highest in districts located near international borders, along the main transit routes and adjacent to other districts with very high prevalence. The variations in the burden of HIV across districts in Zambia point to the need for a differentiated approach in HIV programming within the country. HIV resources need to be prioritized toward districts with high population mobility.

【 授权许可】

CC BY