ArticlePloS one2019
Improving estimates of district HIV prevalence and burden in South Africa using small area estimation techniques.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 42 citations in OpenAlex.
- An open-label, randomized crossover study to evaluate the acceptability and preference for contraceptive options in female adolescents, 15 to 19 years of age in Cape Town, as a proxy for HIV prevention methods (UChoose).Journal of the International AIDS Society · 2020Trial
- A small area model to assess temporal trends and sub-national disparities in healthcare quality.Nature communications · 2023Article
- Estimating district HIV prevalence in Zambia using small-area estimation methods (SAE).Population health metrics · 2022Article
- Mapping HIV prevalence in Nigeria using small area estimates to develop a targeted HIV intervention strategy.PloS one · 2022Article
- When Pregnancy Coincides with Positive Diagnosis of HIV: Accounts of the Process of Acceptance of Self and Motherhood among Women in South Africa.International journal of environmental research and public health · 2021Article
- A Comparison of Bayesian Spatial Models for HIV Mapping in South Africa.International journal of environmental research and public health · 2021Article
- Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa.Journal of the International AIDS Society · 2021Article
- Beyond HIV prevalence: identifying people living with HIV within underserved areas in South Africa.BMJ global health · 2021Article
- Modelling of HIV prevention and treatment progress in five South African metropolitan districts.Scientific reports · 2021Article
- Model-based small area estimation methods and precise district-level HIV prevalence estimates in Uganda.PloS one · 2021Article
- Ensuring Optimal Community HIV Testing Services in Nigeria Using an Enhanced Community Case-Finding Package (ECCP), October 2019-March 2020: Acceleration to HIV Epidemic Control.HIV/AIDS (Auckland, N.Z.) · 2021Article
- Small Area Estimation for Disease Prevalence Mapping.International statistical review = Revue internationale de statistique · 2020Article
- HIV estimates through 2018: data for decision-making.AIDS (London, England) · 2019Article
- Updates to the Spectrum/AIM model for estimating key HIV indicators at national and subnational levels.AIDS (London, England) · 2019Review
- The Arts and Tools for Using Routine Health Data to Establish HIV High Burden Areas: The Pilot Case of KwaZulu-Natal South Africa.Frontiers in public health · 2019Article
- Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa.BMJ global health · 2019Review
- Parenting the child with HIV in limited resource communities in South Africa: mothers with HIV's emotional vulnerability and hope for the future.Women's health (London, England)Article
- Accelerating HIV epidemic control in Benue state, Nigeria, 2019-2021: the APIN program experience.Therapeutic advances in infectious diseaseArticle
- Bayesian estimation methods for survey data with potential applications to health disparities research.Wiley interdisciplinary reviewsArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Many countries, including South Africa, have implemented population-based household surveys to estimate HIV prevalence and the burden of HIV infection. Most household HIV surveys are designed to provide reliable estimates down to only the first subnational geopolitical level which, in South Africa, is composed of nine provinces. However HIV prevalence estimates are needed down to at least the second subnational level in order to better target the delivery of HIV care, treatment and prevention services. The second subnational level in South Africa is composed of 52 districts. Achieving adequate precision at the second subnational level therefore requires either a substantial increase in survey sample size or use of model-based estimation capable of incorporating other pre-existing data. Our purpose is demonstration of the efficacy of relatively simple small-area estimation of HIV prevalence in the 52 districts of South Africa using data from the South African National HIV Prevalence, Incidence and Behavior Survey, 2012, district-level HIV prevalence estimates obtained from testing of pregnant women who attended antenatal care (ANC) clinics in 2012, and 2012 demographic data. The best-fitting model included only ANC prevalence and dependency ratio as out-of-survey predictors. Our key finding is that ANC prevalence was the superior auxiliary covariate, and provided substantially improved precision in many district-level estimates of HIV prevalence in the general population. Inclusion of a district-level spatial simultaneously autoregressive covariance structure did not result in improved estimation.
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