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The objective of this section is to present the best available data on a wide range of health and related indicators.  This should provide health planners and managers with easy access to data from a variety of sources.

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HIV prevalence (%) (total population)

DefinitionPercentage of population estimated to be HIV positive.

Note: this is equivalent to indicators called People living with HIV.
Keywords
Indicator Type: -> Health Status -> HIV and AIDS

[Related Resources]

Indicator Data
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ECFSGPKZNLPMPNCNWWCZA
HIV prevalence (%) (total population) [Definition]
1995 2.44.44.87.31.96.52.13.30.7[1] 4.5
1996 3.35.86.19.22.78.22.74.51.2[2] 5.8
1997 4.57.67.711.63.710.43.56.21.9[3] 7.6
1998 6.210.09.514.55.113.14.68.63.1[4] 9.9
1999 8.613.311.717.87.115.86.012.04.3[5] 12.9
1999 age 15-49---------[6] 19.9
2000 ASSA2000 change/no change8.613.913.416.38.714.45.912.43.0[7] 11.7
2000 Metropolitan---------[8] 9.6
2001 age 15-49---------[9] 20.1
2002 6.614.914.711.79.814.18.410.310.7[10] 11.4
2002 age 15-24---------[11] 9.3
2002 age 15-4910.219.420.315.711.521.09.614.413.2[12] 15.6
2002 age 2-14---------[13] 5.6
2002 age =>25---------[14] 15.5
2002 female---------[15] 12.8
2002 health workers-9.6-17.1-19.6-19.7-[16] 15.7
2002 male---------[17] 9.5
2003 age 15-19---------[18] 4.8
2003 age 15-2412.810.09.214.14.811.76.79.96.8[19] 10.2
2003 age 15-49---------[20] 21.1
2003 age 20-24---------[21] 16.5
2003 female age 15-19---------[22] 7.3
2003 female age 15-24---------[23] 15.5
2003 female age 20-24---------[24] 24.5
2003 male age 15-19---------[25] 2.5
2003 male age 15-24---------[26] 4.8
2003 male age 20-24---------[27] 7.6
2004 ASSA2002---------[28] 11.0
2004 ASSA2002 age 15-49---------[29] 18.5
2004 StatsSA age 15-49---------[30] 15.2
2004 age 2-9 public sector-[31] 14.8--------
2005 8.912.610.816.58.015.25.410.91.9[32] 10.8
2005 ANC survey age 15-49---------[33] 18.8
2005 ASSA2000 change--------5.4[34] 14.9
2005 ASSA2000 no change14.218.617.519.213.117.99.916.8-[35] 16.0
2005 Metropolitan---------[36] 13.6
2005 StatsSA---------[37] 9.8
2005 StatsSA age 15-49---------[38] 16.7
2005 age 15-24---------[39] 10.3
2005 age 15-49---------[40] 16.2
2005 age 2-14---------[41] 3.3
2005 age =>25---------[42] 15.6
2005 age =>50---------[43] 5.7
2005 female---------[44] 13.3
2005 health workers--[45] 11.5-------
2005 male---------[46] 8.2
2006 ASSA200310.013.914.515.76.913.46.912.75.4[47] 11.2
2006 ASSA2003 age 15-4917.422.222.226.212.121.811.220.58.6[48] 18.4
2006 ASSA2003 female11.414.815.116.98.214.67.813.36.4[49] 12.3
2006 ASSA2003 male8.312.914.014.45.412.16.012.24.2[50] 10.1
2006 StatsSA---------[51] 10.9
2006 StatsSA age 15-49---------[52] 18.2
2007 ASSA200310.414.014.715.87.113.47.212.95.6[53] 11.4
2007 ASSA2003 age 15-4917.922.322.526.112.321.811.620.69.0[54] 18.6
2007 ASSA2003 female---------[55] 12.7
2007 ASSA2003 male---------[56] 10.2
2007 Legal services sector--13.623.7----2.1[57] 13.8
2007 Private security sector--17.822.8----3.4[58] 15.9
2008 ASSA200310.814.114.715.87.313.57.513.05.8[59] 11.6
2008 ASSA2003 age 15-4918.422.422.726.012.521.812.020.79.3[60] 18.8
2009 ASSA200311.114.214.815.87.513.57.713.16.0[61] 11.7
2009 ASSA2003 age 15-4918.822.522.825.812.721.712.320.89.6[62] 18.9
2010 ASSA2000 change--------5.6[63] 12.7
2010 ASSA2000 no change15.617.115.316.713.416.610.515.5-[64] 15.3
2010 ASSA200311.514.214.715.87.713.57.913.16.1[65] 11.8
2010 ASSA2003 age 15-4919.222.622.925.712.821.712.520.89.7[66] 19.0
2010 Metropolitan---------[67] 15.0
2015 ASSA2000 change---------[68] 10.5
2015 ASSA2000 no change---------[69] 13.5
2015 Metropolitan---------[70] 15.5
2020 Metropolitan---------[71] 16.1
EC: Eastern Cape  FS: Free State  GP: Gauteng  KZN: KwaZulu-Natal  LP: Limpopo  MP: Mpumalanga  NC: Northern Cape  NW: North West  WC: Western Cape  ZA: South Africa  

Notes and References

  1. SA Uncertain Demographics: Lutz W, Scherbov S, van Aardt C. South Africa's Uncertain Demographic Present and Future. Austria: International Institute for Applied Systems Analysis; 2001. http://www.iiasa.ac.at
    Local copy: http://www.hst.org.za/indicators/Population/SA_Uncertain_Demog_IR-01-019.pdf
    Based on Marais (2000), Kipps and Gouws (1998) and Dorrington (1999). Table 3 pg 6
  2. SA Uncertain Demographics: Lutz W, Scherbov S, van Aardt C. South Africa's Uncertain Demographic Present and Future. Austria: International Institute for Applied Systems Analysis; 2001. http://www.iiasa.ac.at
    Local copy: http://www.hst.org.za/indicators/Population/SA_Uncertain_Demog_IR-01-019.pdf
    Based on Marais (2000), Kipps and Gouws (1998) and Dorrington (1999). Table 3 pg 6
  3. SA Uncertain Demographics: Lutz W, Scherbov S, van Aardt C. South Africa's Uncertain Demographic Present and Future. Austria: International Institute for Applied Systems Analysis; 2001. http://www.iiasa.ac.at
    Local copy: http://www.hst.org.za/indicators/Population/SA_Uncertain_Demog_IR-01-019.pdf
    Based on Marais (2000), Kipps and Gouws (1998) and Dorrington (1999). Table 3 pg 6
  4. SA Uncertain Demographics: Lutz W, Scherbov S, van Aardt C. South Africa's Uncertain Demographic Present and Future. Austria: International Institute for Applied Systems Analysis; 2001. http://www.iiasa.ac.at
    Local copy: http://www.hst.org.za/indicators/Population/SA_Uncertain_Demog_IR-01-019.pdf
    Based on Marais (2000), Kipps and Gouws (1998) and Dorrington (1999). Table 3 pg 6
  5. SA Uncertain Demographics: Lutz W, Scherbov S, van Aardt C. South Africa's Uncertain Demographic Present and Future. Austria: International Institute for Applied Systems Analysis; 2001. http://www.iiasa.ac.at
    Local copy: http://www.hst.org.za/indicators/Population/SA_Uncertain_Demog_IR-01-019.pdf
    Based on Marais (2000), Kipps and Gouws (1998) and Dorrington (1999). Table 3 pg 6
  6. Human Development Report 2001: Human Development Report 2001: Making new technologies work for human development. New York: United Nations Development Programme; 2001. http://hdr.undp.org/reports/global/2001/en/
    Local copy: -
    Table 7: Leading Global Health Crises and Challenges pg 163.
  7. ASSA 2000: Actuarial Projection of the Epidemic: Summary Statistics. AIDS Committee of Actuarial Society of South Africa. Downloaded 14/10/2002. http://www.actuarialsociety.co.za/aids/ The change scenario is included not so much because this is a likely scenario but in order to break away from the tradition of only showing what is expected to happen if nothing is done. It comprises the following assumptions: * no antiretroviral therapy * mother-to-child transmission intervention (phased in from 40% of births in the year starting 1 July 2001 to 90% in five years time, and assumed to 50% effective) * treatment of sexually transmitted diseases (STDs) such that these are reduced by 15% phased in over the five years starting 1 July 2001 * a doubling in condom usage over the next five years * a decrease in the number of new sexual partners by 15% over the next five years. The provincial projection results are based on the assumption of no-change for all provinces except the Western Cape. In the case of the Western Cape a change scenario specific to that province has been incorporated to allow for the fact that the province has been intervening to prevent the spread of the epidemic.
    Local copy: -
  8. Metropolitan 2001: Kramer S. Mortality & Population: The Doyle Model. Metropolitan. 2001. (PowerPoint presentation and spreadsheet) skramer@metropolitan.co.za
    Local copy: -
  9. Human Development Report 2002: Human Development Report 2002: Deepening democracy in a fragmented world. New York: United Nations Development Programme; 2002. http://hdr.undp.org/reports/global/2002/en/
    Local copy: -
    Table 7: Leading global health crises and challenges.
  10. HIV Household Survey 2002: Shisana O, Simbayi L. Nelson Mandela/HSRC Study of HIV/AIDS - South African National HIV Prevalence, Behavioural Risks and Mass Media Household Survey 2002. Cape Town: Human Sciences Research Council; 2002. http://www.hsrcpress.ac.za/freedownload.asp?id=2009 Overall, a total of 14 450 potential participants composed of 4 001 children, 3 720 youths and 6 729 adults were selected for the survey and 13 518 (93.6%) were actually visited. A small proportion (6.4%) of potential respondents could not be approached due to logistic constraints that were unavoidable in a study of such magnitude. Among the 13 518 individuals who were selected and contacted for the survey, 9 963 (73.7%) persons agreed to be interviewed, and 8 840 (65.4%) agreed to also give a specimen for an HIV test. Thus 88.7% of those who agreed to be interviewed also gave a specimen for testing.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2002.pdf
    95% CI: 10.0-12.7 Prevalence estimates for the general population aged 2 years and older. See source document for details of methodology, limitations of the survey, and results that are of variable reliability due to sampling and other issues. Reported figures should also be viewed together with the confidence intervals to get a better understanding of the reliability of the estimates. The imprecision of estimates for WC, NC and LP is at the statistical borderline.
  11. HIV Household Survey 2002: Shisana O, Simbayi L. Nelson Mandela/HSRC Study of HIV/AIDS - South African National HIV Prevalence, Behavioural Risks and Mass Media Household Survey 2002. Cape Town: Human Sciences Research Council; 2002. http://www.hsrcpress.ac.za/freedownload.asp?id=2009 Overall, a total of 14 450 potential participants composed of 4 001 children, 3 720 youths and 6 729 adults were selected for the survey and 13 518 (93.6%) were actually visited. A small proportion (6.4%) of potential respondents could not be approached due to logistic constraints that were unavoidable in a study of such magnitude. Among the 13 518 individuals who were selected and contacted for the survey, 9 963 (73.7%) persons agreed to be interviewed, and 8 840 (65.4%) agreed to also give a specimen for an HIV test. Thus 88.7% of those who agreed to be interviewed also gave a specimen for testing.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2002.pdf
  12. HIV Household Survey 2002: Shisana O, Simbayi L. Nelson Mandela/HSRC Study of HIV/AIDS - South African National HIV Prevalence, Behavioural Risks and Mass Media Household Survey 2002. Cape Town: Human Sciences Research Council; 2002. http://www.hsrcpress.ac.za/freedownload.asp?id=2009 Overall, a total of 14 450 potential participants composed of 4 001 children, 3 720 youths and 6 729 adults were selected for the survey and 13 518 (93.6%) were actually visited. A small proportion (6.4%) of potential respondents could not be approached due to logistic constraints that were unavoidable in a study of such magnitude. Among the 13 518 individuals who were selected and contacted for the survey, 9 963 (73.7%) persons agreed to be interviewed, and 8 840 (65.4%) agreed to also give a specimen for an HIV test. Thus 88.7% of those who agreed to be interviewed also gave a specimen for testing.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2002.pdf
    Male: 12.8% Female: 17.7% The results for Whites and Indians have wide confidence intervals, largely due to a low response rate.
  13. HIV Household Survey 2002: Shisana O, Simbayi L. Nelson Mandela/HSRC Study of HIV/AIDS - South African National HIV Prevalence, Behavioural Risks and Mass Media Household Survey 2002. Cape Town: Human Sciences Research Council; 2002. http://www.hsrcpress.ac.za/freedownload.asp?id=2009 Overall, a total of 14 450 potential participants composed of 4 001 children, 3 720 youths and 6 729 adults were selected for the survey and 13 518 (93.6%) were actually visited. A small proportion (6.4%) of potential respondents could not be approached due to logistic constraints that were unavoidable in a study of such magnitude. Among the 13 518 individuals who were selected and contacted for the survey, 9 963 (73.7%) persons agreed to be interviewed, and 8 840 (65.4%) agreed to also give a specimen for an HIV test. Thus 88.7% of those who agreed to be interviewed also gave a specimen for testing.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2002.pdf
  14. HIV Household Survey 2002: Shisana O, Simbayi L. Nelson Mandela/HSRC Study of HIV/AIDS - South African National HIV Prevalence, Behavioural Risks and Mass Media Household Survey 2002. Cape Town: Human Sciences Research Council; 2002. http://www.hsrcpress.ac.za/freedownload.asp?id=2009 Overall, a total of 14 450 potential participants composed of 4 001 children, 3 720 youths and 6 729 adults were selected for the survey and 13 518 (93.6%) were actually visited. A small proportion (6.4%) of potential respondents could not be approached due to logistic constraints that were unavoidable in a study of such magnitude. Among the 13 518 individuals who were selected and contacted for the survey, 9 963 (73.7%) persons agreed to be interviewed, and 8 840 (65.4%) agreed to also give a specimen for an HIV test. Thus 88.7% of those who agreed to be interviewed also gave a specimen for testing.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2002.pdf
  15. HIV Household Survey 2002: Shisana O, Simbayi L. Nelson Mandela/HSRC Study of HIV/AIDS - South African National HIV Prevalence, Behavioural Risks and Mass Media Household Survey 2002. Cape Town: Human Sciences Research Council; 2002. http://www.hsrcpress.ac.za/freedownload.asp?id=2009 Overall, a total of 14 450 potential participants composed of 4 001 children, 3 720 youths and 6 729 adults were selected for the survey and 13 518 (93.6%) were actually visited. A small proportion (6.4%) of potential respondents could not be approached due to logistic constraints that were unavoidable in a study of such magnitude. Among the 13 518 individuals who were selected and contacted for the survey, 9 963 (73.7%) persons agreed to be interviewed, and 8 840 (65.4%) agreed to also give a specimen for an HIV test. Thus 88.7% of those who agreed to be interviewed also gave a specimen for testing.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2002.pdf
    95% CI: 10.9-14.6
  16. HIV/AIDS Impact Health Sector: Shisana O, et al. The Impact of HIV/AIDS on the Health Sector National survey of health personnel, ambulatory and hospitalised patients and health facilities, 2002. Human Sciences Research Council (HSRC); 2003. http://www.hsrcpress.ac.za/freedownload.asp?id=1986 ISBN: 1-875017-85-2 This report emanates from the results of a study that examined the impact of HIV/AIDS on the public and private health facilities in South Africa, and outlines the subsystems that are affected. Both public and private sector health facilities have reported an increase in the number of patients seeking clinical care for people living with HIV/AIDS, leading to increased admissions to medical and paediatric wards and increased workloads. This study addresses these issues and makes recommendations for managing the HIV/AIDS case load.
    Local copy: -
  17. HIV Household Survey 2002: Shisana O, Simbayi L. Nelson Mandela/HSRC Study of HIV/AIDS - South African National HIV Prevalence, Behavioural Risks and Mass Media Household Survey 2002. Cape Town: Human Sciences Research Council; 2002. http://www.hsrcpress.ac.za/freedownload.asp?id=2009 Overall, a total of 14 450 potential participants composed of 4 001 children, 3 720 youths and 6 729 adults were selected for the survey and 13 518 (93.6%) were actually visited. A small proportion (6.4%) of potential respondents could not be approached due to logistic constraints that were unavoidable in a study of such magnitude. Among the 13 518 individuals who were selected and contacted for the survey, 9 963 (73.7%) persons agreed to be interviewed, and 8 840 (65.4%) agreed to also give a specimen for an HIV test. Thus 88.7% of those who agreed to be interviewed also gave a specimen for testing.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2002.pdf
    95% CI: 8.0-11.1
  18. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  19. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  20. Human Development Report 2004: Human Development Report 2004: Cultural liberty in today's diverse world. New York: United Nations Development Programme; 2004. http://hdr.undp.org/reports/global/2004/
    Local copy: -
    Data for many countries given as a range in source.
  21. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  22. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  23. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  24. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  25. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  26. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  27. HIV Youth 2003: Pettifor AE, Rees HV, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg: Reproductive Health Research Unit; 2003. http://www.lovelife.org.za/corporate/research/national_survey_RHRU.pdf
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_YouthSurvey_2003.pdf
  28. HIV Indicators 2004: Dorrington R, Bradshaw D, Johnson L, Budlender D. The Demographic Impact of HIV/AIDS in South Africa: National Indicators for 2004. Cape Town: Centre for Actuarial Research, South African Medical Research Council and Actuarial Society of SA; 2004. http://www.commerce.uct.ac.za/care/ ISBN: 1-920015-17-5
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIVIndicators_2004.pdf
    Calculated using the ASSA 2002 AIDS and Demographic Model.
  29. HIV Indicators 2004: Dorrington R, Bradshaw D, Johnson L, Budlender D. The Demographic Impact of HIV/AIDS in South Africa: National Indicators for 2004. Cape Town: Centre for Actuarial Research, South African Medical Research Council and Actuarial Society of SA; 2004. http://www.commerce.uct.ac.za/care/ ISBN: 1-920015-17-5
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIVIndicators_2004.pdf
  30. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2004 mid year estimates. Estimated adult (age 15-49 years) HIV prevalence used in calculation of population estimates.
  31. HIV Children 2005: Shisana O, Mehtar S, Mosala T, Zungu-Dirwayi M, Rehle T, Dana P et al. HIV risk exposure in children: A study of 2-9 year-olds served by public health facilities in the Free State, South Africa. Cape Town: HSRC Press; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2089
    Local copy: -
    This value is the HIV prevalence of children attending public health services in the Free State between April and July 2004. HIV prevalence in this group is likely to differ from HIV prevalence in the general population.
  32. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
    Prevalence estimates for the general population aged 2 years and older.
  33. Antenatal Survey 2005: National HIV and syphilis antenatal sero-prevalence survey in South Africa 2005. Pretoria: Department of Health; 2006. http://www.doh.gov.za/docs/hiv-syphilis-f.html
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/antenatal_2005.pdf
  34. ASSA 2000: Actuarial Projection of the Epidemic: Summary Statistics. AIDS Committee of Actuarial Society of South Africa. Downloaded 14/10/2002. http://www.actuarialsociety.co.za/aids/ The change scenario is included not so much because this is a likely scenario but in order to break away from the tradition of only showing what is expected to happen if nothing is done. It comprises the following assumptions: * no antiretroviral therapy * mother-to-child transmission intervention (phased in from 40% of births in the year starting 1 July 2001 to 90% in five years time, and assumed to 50% effective) * treatment of sexually transmitted diseases (STDs) such that these are reduced by 15% phased in over the five years starting 1 July 2001 * a doubling in condom usage over the next five years * a decrease in the number of new sexual partners by 15% over the next five years. The provincial projection results are based on the assumption of no-change for all provinces except the Western Cape. In the case of the Western Cape a change scenario specific to that province has been incorporated to allow for the fact that the province has been intervening to prevent the spread of the epidemic.
    Local copy: -
  35. ASSA 2000: Actuarial Projection of the Epidemic: Summary Statistics. AIDS Committee of Actuarial Society of South Africa. Downloaded 14/10/2002. http://www.actuarialsociety.co.za/aids/ The change scenario is included not so much because this is a likely scenario but in order to break away from the tradition of only showing what is expected to happen if nothing is done. It comprises the following assumptions: * no antiretroviral therapy * mother-to-child transmission intervention (phased in from 40% of births in the year starting 1 July 2001 to 90% in five years time, and assumed to 50% effective) * treatment of sexually transmitted diseases (STDs) such that these are reduced by 15% phased in over the five years starting 1 July 2001 * a doubling in condom usage over the next five years * a decrease in the number of new sexual partners by 15% over the next five years. The provincial projection results are based on the assumption of no-change for all provinces except the Western Cape. In the case of the Western Cape a change scenario specific to that province has been incorporated to allow for the fact that the province has been intervening to prevent the spread of the epidemic.
    Local copy: -
  36. Metropolitan 2001: Kramer S. Mortality & Population: The Doyle Model. Metropolitan. 2001. (PowerPoint presentation and spreadsheet) skramer@metropolitan.co.za
    Local copy: -
  37. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2005 mid-year estimates.
  38. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2005 mid-year estimates.
  39. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
  40. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
  41. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
  42. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
  43. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
  44. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
    Prevalence estimates for the general population aged 2 years and older.
  45. SAMJ 97(115-20): Connelly D, Veriava Y, Roberts S, et al. Prevalence of HIV infection and median CD4 counts among health care workers in South Africa. S Afr Med J. 2007; 97: 115-20.
    Local copy: http://www.hst.org.za/indicators/Journals/samj_v97_n2_115.pdf
    Health workers at Coronation and Helen Joseph hospitals. Prevalence also given for various categories including doctors (2.0%), Nurses (13.7%), females (12.0%), males (7.9%), by age groups and ethnic groups.
  46. HIV Household Survey 2005: Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005. Cape Town: Human Sciences Research Council; 2005. http://www.hsrcpress.ac.za/freedownload.asp?id=2134
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HIV_HouseholdSurvey2005.pdf
    Prevalence estimates for the general population aged 2 years and older.
  47. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  48. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  49. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  50. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  51. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2006 mid-year estimates. Note that figures for 2001-2005 differ from those given in previous releases.
  52. StatsSA Mid-year Estimates: Statistics South Africa: Statistical release P0302 Mid-year estimates. (various years) http://www.statssa.gov.za/ A new feature of the 2000 mid year estimates was that two population estimates were provided, one taking into account the estimated additional deaths that might have occurred due to HIV/AIDS (With AIDS) and one that does not attempt to model the impact of AIDS (Without AIDS). The assumptions that underpinned these estimates are outlined in the relevant P0302 Statistical release.
    Local copy: http://www.hst.org.za/indicators/StatsSA/
    2006 mid-year estimates. Note that figures for 2001-2005 differ from those given in previous releases.
  53. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  54. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  55. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  56. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
    Downloaded 2006-06-19
  57. HSRC Security Legal 2007: Simbayi LC, Rehle T, Vass J, Skinner D, Zuma K, Mbelle MN, et al. The impact of and responses to HIV/AIDS in the private security and legal services industries in South Africa. Cape Town: HSRC; 2007. http://www.hsrcpress.ac.za/product.php?productid=2226&cat=0&page=1&featured Data for GP, KZN and WC. Source includes a lot more detail and breakdown of the results including by race and gender.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HSRC_HIV_AIDS_private_security_legal_services_industry_SA.pdf
  58. HSRC Security Legal 2007: Simbayi LC, Rehle T, Vass J, Skinner D, Zuma K, Mbelle MN, et al. The impact of and responses to HIV/AIDS in the private security and legal services industries in South Africa. Cape Town: HSRC; 2007. http://www.hsrcpress.ac.za/product.php?productid=2226&cat=0&page=1&featured Data for GP, KZN and WC. Source includes a lot more detail and breakdown of the results including by race and gender.
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/HSRC_HIV_AIDS_private_security_legal_services_industry_SA.pdf
  59. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
  60. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
  61. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
  62. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
  63. ASSA 2000: Actuarial Projection of the Epidemic: Summary Statistics. AIDS Committee of Actuarial Society of South Africa. Downloaded 14/10/2002. http://www.actuarialsociety.co.za/aids/ The change scenario is included not so much because this is a likely scenario but in order to break away from the tradition of only showing what is expected to happen if nothing is done. It comprises the following assumptions: * no antiretroviral therapy * mother-to-child transmission intervention (phased in from 40% of births in the year starting 1 July 2001 to 90% in five years time, and assumed to 50% effective) * treatment of sexually transmitted diseases (STDs) such that these are reduced by 15% phased in over the five years starting 1 July 2001 * a doubling in condom usage over the next five years * a decrease in the number of new sexual partners by 15% over the next five years. The provincial projection results are based on the assumption of no-change for all provinces except the Western Cape. In the case of the Western Cape a change scenario specific to that province has been incorporated to allow for the fact that the province has been intervening to prevent the spread of the epidemic.
    Local copy: -
  64. ASSA 2000: Actuarial Projection of the Epidemic: Summary Statistics. AIDS Committee of Actuarial Society of South Africa. Downloaded 14/10/2002. http://www.actuarialsociety.co.za/aids/ The change scenario is included not so much because this is a likely scenario but in order to break away from the tradition of only showing what is expected to happen if nothing is done. It comprises the following assumptions: * no antiretroviral therapy * mother-to-child transmission intervention (phased in from 40% of births in the year starting 1 July 2001 to 90% in five years time, and assumed to 50% effective) * treatment of sexually transmitted diseases (STDs) such that these are reduced by 15% phased in over the five years starting 1 July 2001 * a doubling in condom usage over the next five years * a decrease in the number of new sexual partners by 15% over the next five years. The provincial projection results are based on the assumption of no-change for all provinces except the Western Cape. In the case of the Western Cape a change scenario specific to that province has been incorporated to allow for the fact that the province has been intervening to prevent the spread of the epidemic.
    Local copy: -
  65. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
  66. ASSA 2003: ASSA2003 Model: ProvOutput. AIDS Committee of Actuarial Society of South Africa. [cited 2006 Jun 19]. http://www.actuarialsociety.co.za/aids/
    Local copy: http://www.hst.org.za/indicators/HIV_AIDS/ASSA2003ProvOutput_051129.zip
  67. Metropolitan 2001: Kramer S. Mortality & Population: The Doyle Model. Metropolitan. 2001. (PowerPoint presentation and spreadsheet) skramer@metropolitan.co.za
    Local copy: -
  68. ASSA 2000: Actuarial Projection of the Epidemic: Summary Statistics. AIDS Committee of Actuarial Society of South Africa. Downloaded 14/10/2002. http://www.actuarialsociety.co.za/aids/ The change scenario is included not so much because this is a likely scenario but in order to break away from the tradition of only showing what is expected to happen if nothing is done. It comprises the following assumptions: * no antiretroviral therapy * mother-to-child transmission intervention (phased in from 40% of births in the year starting 1 July 2001 to 90% in five years time, and assumed to 50% effective) * treatment of sexually transmitted diseases (STDs) such that these are reduced by 15% phased in over the five years starting 1 July 2001 * a doubling in condom usage over the next five years * a decrease in the number of new sexual partners by 15% over the next five years. The provincial projection results are based on the assumption of no-change for all provinces except the Western Cape. In the case of the Western Cape a change scenario specific to that province has been incorporated to allow for the fact that the province has been intervening to prevent the spread of the epidemic.
    Local copy: -
  69. ASSA 2000: Actuarial Projection of the Epidemic: Summary Statistics. AIDS Committee of Actuarial Society of South Africa. Downloaded 14/10/2002. http://www.actuarialsociety.co.za/aids/ The change scenario is included not so much because this is a likely scenario but in order to break away from the tradition of only showing what is expected to happen if nothing is done. It comprises the following assumptions: * no antiretroviral therapy * mother-to-child transmission intervention (phased in from 40% of births in the year starting 1 July 2001 to 90% in five years time, and assumed to 50% effective) * treatment of sexually transmitted diseases (STDs) such that these are reduced by 15% phased in over the five years starting 1 July 2001 * a doubling in condom usage over the next five years * a decrease in the number of new sexual partners by 15% over the next five years. The provincial projection results are based on the assumption of no-change for all provinces except the Western Cape. In the case of the Western Cape a change scenario specific to that province has been incorporated to allow for the fact that the province has been intervening to prevent the spread of the epidemic.
    Local copy: -
  70. Metropolitan 2001: Kramer S. Mortality & Population: The Doyle Model. Metropolitan. 2001. (PowerPoint presentation and spreadsheet) skramer@metropolitan.co.za
    Local copy: -
  71. Metropolitan 2001: Kramer S. Mortality & Population: The Doyle Model. Metropolitan. 2001. (PowerPoint presentation and spreadsheet) skramer@metropolitan.co.za
    Local copy: -
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