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Improving Sampling Efficiency for Determining Pediatric HIV Prevalence in National Surveys: Evidence From 8 Sub-Saharan African Countries
Author(s) -
Giles Reid,
Andrew C. Voetsch,
Paul Stupp,
Stephen McCracken,
Graham Kalton,
Sindisiwe Dlamini,
James Juma,
Thokozani Kalua,
Wilford Kirungi,
Masebeo Koto,
Owen Mugurungi,
Lloyd Mulenga,
Nicholus Mutenda,
Lawrence Marum,
Suzue Saito
Publication year - 2021
Publication title -
journal of acquired immune deficiency syndromes
Language(s) - English
Resource type - Journals
eISSN - 1944-7884
pISSN - 1525-4135
DOI - 10.1097/qai.0000000000002704
Subject(s) - confidence interval , tanzania , sample size determination , population , medicine , sampling design , stratified sampling , demography , statistics , jackknife resampling , sample (material) , sampling (signal processing) , environmental health , geography , mathematics , chemistry , filter (signal processing) , environmental planning , chromatography , estimator , sociology , computer science , computer vision
Measurement of mother-to-child HIV transmission through population-based surveys requires large sample sizes because of low HIV prevalence among children. We estimate potential improvements in sampling efficiency resulting from a targeted sample design.

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