ArticleAIDS (London, England)2017
Statistical models for incorporating data from routine HIV testing of pregnant women at antenatal clinics into HIV/AIDS epidemic estimates.
Article in AIDS (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Dynamic models augmented by hierarchical data: an application of estimating HIV epidemics at sub-national level.Biostatistics (Oxford, England) · 2024Article
- Triangulation of Routine Antenatal HIV Prevalence Data and Adjusted HIV Estimates in Mozambique.Journal of acquired immune deficiency syndromes (1999) · 2024Article
- Subnational HIV incidence trends in Malawi: large, heterogeneous declines across space.medRxiv : the preprint server for health sciences · 2023Article
- Using electronic medical records to understand the impact of SARS-CoV-2 lockdown measures on maternal and neonatal outcomes in Kampala, Uganda.PLOS global public health · 2023Article
- Cross-sectional trends in HIV prevalence among pregnant women in Botswana: an opportunity for PrEP?Journal of the International AIDS Society · 2022Article
- Sub optimal HIV status ascertainment at antenatal clinics and the impact on HIV prevalence estimates: A cross sectional study.PloS one · 2022Article
- 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
- Comparison of HIV prevalence among antenatal clinic attendees estimated from routine testing and unlinked anonymous testing.Statistics in biosciences · 2020Article
- Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.BMC public health · 2020Article
- Article
- The Estimation and Projection Package Age-Sex Model and the r-hybrid model: new tools for estimating HIV incidence trends in sub-Saharan Africa.AIDS (London, England) · 2019Article
- HIV surveillance based on routine testing data from antenatal clinics in Malawi (2011-2018): measuring and adjusting for bias from imperfect testing coverage.AIDS (London, England) · 2019Article
- 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
- Demographic change and HIV epidemic projections to 2050 for adolescents and young people aged 15-24.Global health action · 2019Article
- Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa.JMIR public health and surveillance · 2018Article
- Accounting for nonsampling error in estimates of HIV epidemic trends from antenatal clinic sentinel surveillance.AIDS (London, England) · 2017Article
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6 authors.
Funding
Abstract
objectiveHIV prevalence data collected from routine HIV testing of pregnant women at antenatal clinics (ANC-RT) are potentially available from all facilities that offer testing services to pregnant women and can be used to improve estimates of national and subnational HIV prevalence trends. We develop methods to incorporate these new data source into the Joint United Nations Programme on AIDS Estimation and Projection Package in Spectrum 2017.
methodsWe develop a new statistical model for incorporating ANC-RT HIV prevalence data, aggregated either to the health facility level (site-level) or regionally (census-level), to estimate HIV prevalence alongside existing sources of HIV prevalence data from ANC unlinked anonymous testing (ANC-UAT) and household-based national population surveys. Synthetic data are generated to understand how the availability of ANC-RT data affects the accuracy of various parameter estimates.
resultsWe estimate HIV prevalence and additional parameters using both ANC-RT and other existing data. Fitting HIV prevalence using synthetic data generally gives precise estimates of the underlying trend and other parameters. More years of ANC-RT data should improve prevalence estimates. More ANC-RT sites and continuation with existing ANC-UAT sites may improve the estimate of calibration between ANC-UAT and ANC-RT sites.
conclusionWe have proposed methods to incorporate ANC-RT data into Spectrum to obtain more precise estimates of prevalence and other measures of the epidemic. Many assumptions about the accuracy, consistency, and representativeness of ANC-RT prevalence underlie the use of these data for monitoring HIV epidemic trends and should be tested as more data become available from national ANC-RT programs.
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