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Population and antenatal-based HIV prevalence estimates in a high contracepting female population in rural South Africa

Datos Bibliográficos

ID15364005
AutoresBrian Rice (0000-0002-5416-8058, Africa Health Research Institute, autor de correspondencia), Brian D Rice, Jörg Bätzing-Feigenbaum (Robert Koch Institute), Victoria Hosegood (0000-0002-2244-2518, University of London), Frank Tanser (0000-0001-9797-0000), Caterina Hill, Till Bärnighausen (0000-0002-4182-4212), Kobus Herbst (0000-0002-5436-9386), Tanya Welz (King's College London), Marie-Louise Newell (0000-0002-1074-7699, Royal College of Paediatrics and Child Health)
Año2007
Volumen7
Número1
Páginas160-160
Fecha de publicación2007-07-18
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBMC Public Health (JOURNAL)
Identificadores de la revistaISSN: 1471-2458 • E-ISSN: 1471-2458
EditorialBioMed Central (PUBLISHER • GB)
DOI10.1186/1471-2458-7-160
PMID17640354
PMCIDPMC1948890
OpenAlexW2167640462
IdiomaEN
Citas recibidas8
Referencias citadas28

It is likely that where ANC coverage and contraceptive use is widespread and fertility is low, population-based surveillance under-estimates HIV prevalence due to unrepresentative testing by age, residence and also probably by HIV status, and that ANC sentinel surveillance over-estimates prevalence due to selection bias in terms of age of sexual debut and contraceptive use. The results presented highlight the importance of accounting for unrepresentative testing, particularly by individual residence and age, through system design and statistical analyses

Biostatistics · Developing country · Environmental health · Estimation · Population · Public health · Residence · Rural area · Adolescent Sexual and Reproductive Health · Demography · Global Maternal and Child Health · HIV/AIDS Research and Interventions · Medicine · Epidemiology

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Obras citantes distintas8
Citas por año0,47
Intervalo de citas2009 - 2018 (10)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 8
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