Literature DB >> 17440667

National HIV incidence measures--new insights into the South African epidemic.

Thomas Rehle1, Olive Shisana, Victoria Pillay, Khangelani Zuma, Adrian Puren, Warren Parker.   

Abstract

BACKGROUND AND OBJECTIVES: Currently South Africa does not have national HIV incidence data based on laboratory testing of blood specimens. The 2005 South African national HIV household survey was analysed to generate national incidence estimates stratified by age, sex, race, province and locality type, to compare the HIV incidence and HIV prevalence profiles by sex, and to examine the relationship between HIV prevalence, HIV incidence and associated risk factors.
METHOD: The detection of recent infections was performed on confirmed HIV-positive samples, using the BED capture enzyme immunoassay optimised for dried blood spot (DBS) specimens. BED HIV incidence calculations applied adjustment procedures that were recently revised and approved by the Centers for Disease Control and Prevention for subtype C blood specimens.
RESULTS: HIV incidence in the study population aged 2 years and older was 1.4% per year, with 571,000 new HIV infections estimated for 2005. An HIV incidence rate of 2.4% was recorded for the age group 15-49 years. The incidence of HIV among females peaked in the 20-29-year age group at 5.6%, more than six times the incidence found in 20-29-year-old males (0.9%). Among youth aged 15-24 years, females account for 90% of the recent HIV infections. Non-condom use among youth, current pregnancy and widowhood were the socio-behavioural factors associated with the highest HIV incidence rates.
CONCLUSIONS: The HIV incidence estimates reflect the underlying transmission dynamics that are currently at work in South Africa. The findings suggest that the current prevention campaigns are not having the desired impact, particularly among young women.

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Year:  2007        PMID: 17440667

Source DB:  PubMed          Journal:  S Afr Med J


  70 in total

1.  A controlled study of an HIV/AIDS/STI/TB intervention with faith healers in Vhembe District, South Africa.

Authors:  Tshilidzi Mashamba; Karl Peltzer; Thelma X Maluleke; Tholene Sodi
Journal:  Afr J Tradit Complement Altern Med       Date:  2011-07-03

2.  Can HIV incidence testing be used for evaluating HIV intervention programs? A reanalysis of the Orange Farm male circumcision trial (ANRS-1265).

Authors:  Agnès Fiamma; Pascale Lissouba; Oliver E Amy; Beverley Singh; Oliver Laeyendecker; Thomas C Quinn; Dirk Taljaard; Bertran Auvert
Journal:  BMC Infect Dis       Date:  2010-05-27       Impact factor: 3.090

3.  A Simplified Formula for Inferring HIV Incidence from Cross-Sectional Surveys Using a Test for Recent Infection.

Authors:  Alex Welte; Thomas A McWalter; Till Bärnighausen
Journal:  AIDS Res Hum Retroviruses       Date:  2009-01       Impact factor: 2.205

4.  Stabilizing HIV prevalence masks high HIV incidence rates amongst rural and urban women in KwaZulu-Natal, South Africa.

Authors:  Quarraisha Abdool Karim; Ayesha B M Kharsany; Janet A Frohlich; Lise Werner; May Mashego; Mukelisiwe Mlotshwa; Bernadette T Madlala; Fanelesibonge Ntombela; Salim S Abdool Karim
Journal:  Int J Epidemiol       Date:  2010-11-03       Impact factor: 7.196

5.  Opportunities for technology-based HIV prevention programming among high school students in Cape Town, South Africa.

Authors:  Michele L Ybarra; Kelvin Mwaba; Tonya L Prescott; Nicolette V Roman; Bronwyn Rooi; Sheana Bull
Journal:  AIDS Care       Date:  2014-07-15

6.  Mortality in South Africa - socioeconomic profile and association with self-reported health.

Authors:  Cally Ardington; Boingotlo Gasealahwe
Journal:  Dev South Afr       Date:  2014-01-01

Review 7.  The intersection of intimate partner violence against women and HIV/AIDS: a review.

Authors:  J C Campbell; M L Baty; R M Ghandour; J K Stockman; L Francisco; J Wagman
Journal:  Int J Inj Contr Saf Promot       Date:  2008-12

8.  A decline in new HIV infections in South Africa: estimating HIV incidence from three national HIV surveys in 2002, 2005 and 2008.

Authors:  Thomas M Rehle; Timothy B Hallett; Olive Shisana; Victoria Pillay-van Wyk; Khangelani Zuma; Henri Carrara; Sean Jooste
Journal:  PLoS One       Date:  2010-06-14       Impact factor: 3.240

9.  Errors in 'BED'-derived estimates of HIV incidence will vary by place, time and age.

Authors:  Timothy B Hallett; Peter Ghys; Till Bärnighausen; Ping Yan; Geoff P Garnett
Journal:  PLoS One       Date:  2009-05-28       Impact factor: 3.240

10.  Sexual practices among unmarried adolescents in Tanzania.

Authors:  Method R Kazaura; Melkiory C Masatu
Journal:  BMC Public Health       Date:  2009-10-06       Impact factor: 3.295

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