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

Dados Bibliográficos

ID15364005
AutoresBrian Rice (0000-0002-5416-8058, Africa Health Research Institute, autor correspondente), 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)
Ano2007
Volume7
Fascículo1
Páginas160-160
Data de publicação2007-07-18
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoBMC Public Health (JOURNAL)
Identificadores do periódicoISSN: 1471-2458 • E-ISSN: 1471-2458
EditoraBioMed Central (PUBLISHER • GB)
DOI10.1186/1471-2458-7-160
PMID17640354
PMCIDPMC1948890
OpenAlexW2167640462
IdiomaEN
Citações recebidas8
Referências 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
Citações por ano0,47
Intervalo de citações2009 - 2018 (10)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 8
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