National population-based HIV surveys - The method of choice for measuring the HIV epidemic

South African Medical Journal

Volumn 99, Issue 9, 2009, Pages 633-636

  Rehle, Thomas ^a,b   Shisana, Olive ^a,c  

^a Human Sciences Research Council HSRC   (South Africa)

^b UNIVERSITY OF CAPE TOWN   (South Africa)

^c EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEMOGRAPHY; EPIDEMIC; HEALTH SURVEY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INCIDENCE; PRENATAL PERIOD; PREVALENCE; RELIABILITY; SHORT SURVEY; SOUTH AFRICA; VERTICAL TRANSMISSION;

ADOLESCENT; DISEASE OUTBREAKS; HEALTH SURVEYS; HIV INFECTIONS; HUMANS; PREVALENCE; SOUTH AFRICA; YOUNG ADULT;

EID: 70450171536     PISSN: 02569574     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Short Survey

References (13)

1. Boerma TJ, Ghys PD, Walker N. Estimates of HIV-1 prevalence from n ational populationbased surveys as a new gold standard. Lancet 2003; 362: 1929-1931. (Pubitemid 37518513)
2. Shisana O, Rehle T, Simbayi LC, et al. South African National HIV Prevalence, HIV Incidence, Behavioural and Communications Survey, 2008. Cape Town: Human Sciences Research Council Publishers, 2009.
3. Dorrington R. Does the 2008 HSRC survey indicate a turning tide of HIV prevalence in children, teenagers and the youth? (Debate). S Afr Med J 2009; 99: 631-633.
4. Actuarial Society of South Africa. ASSA2003 AIDS and Demographic Model. 2005. www.actuarialsociety.org.za/aids (accessed 30 November 2005).
5. Dorrington RE, Bradshaw D, Budlender D. HIV/AIDS Profile of the Provinces of South Africa, Indicators for 2002. Cape Town: Centre for Actuarial Research, Medical Research Council, Actuarial Society of South Africa, 2002.
6. Dorrington RE, Johnson L, Bradshaw D, Daniel T. The Demographic Impact of HIV/AIDS in South Africa. National and Provincial Indicators for 2006. Cape Town: Centre for Actuarial Research, South African Medical Research Council and Actuarial Society of South Africa, 2006.
7. Department of Health. Summary Report: National HIV and Syphilis Antenatal Sero-prevalence Survey in South Africa, 2002. Pretoria: Department of Health, 2003.
8. Department of Health. Summary Report: National HIV and Syphilis Antenatal Sero-prevalence Survey in South Africa, 2007. Pretoria: Department of Health, 2008.
9. Saidel T, Sokal D, Rice J, Buzingo T, Hassig S. Validation of a method to estimate age-specific human immunodeficiency virus (HIV) incidence rates in developing countries using population-based seroprevalence data. Am J Epidemiol 1996; 144: 214-223. (Pubitemid 27189313)
10. Gregson S, Machekano R, Donnelly CA, et al. Estimating HIV incidence from age-specific prevalence data: comparison with concurrent cohort estimates in a study of male factory workers, Harare, Zimbabwe. AIDS 1998; 12: 2049-2058. (Pubitemid 28479282)
11. Hallett TB, Zaba B, Todd J, et al. Estimating incidence from prevalence in generalised HIV epidemics: methods and validation. PLoS Med 2008; 5: e80.
12. Box GEP, Draper NR. Empirical Model-Building and Response Surfaces. New York: Wiley, 1987.
13. Brown T, Salomon JA, Alkema L, Raftery AE, Gouws E. Progress and challenges in modelling country-level HIV/AIDS epidemics: the UNAIDS Estimation and Projection Package 2007. Sex Transm Infect 2008; 84: Suppl 1, i5-i10.