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Evidence based use of Stats SA data for implementation of HIV&AIDS Program Ms Y.Tsibolane FS DoH, HIV and AIDS Program Date: 10 -11 October 2013.

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Presentation on theme: "Evidence based use of Stats SA data for implementation of HIV&AIDS Program Ms Y.Tsibolane FS DoH, HIV and AIDS Program Date: 10 -11 October 2013."— Presentation transcript:

1 Evidence based use of Stats SA data for implementation of HIV&AIDS Program Ms Y.Tsibolane FS DoH, HIV and AIDS Program Date: 10 -11 October 2013

2 Layout Introduction Background Prevalence of HIV per district HIV&AIDS Population distribution Adult & Children treatment need and coverage PMTCT, & Mortality rates Impact of HIV/AIDS Conclusion

3 Introduction 81% of eligible people aged 15+ living with HIV have accessed lifesaving HIV treatment in FS Free State province, continues to achieve dramatic results in the AIDS response – lives saved and new infections averted. The number of children newly infected declined from 4 110 in 2004 to 540 in 2012. The FS HIV/AIDS Spectrum Model results, showed an increase in prevalence( 15-49) from 18.80% in 2004, to 19.57% in 2012. Infection levels are highly variable between districts & by gender.

4 Free State Province Geographic background Free State is the 2nd smallest province, neighbouring Lesotho and 6 of 8 provinces in South Africa. Population: o It is estimated at 2.9 million, DHIS 2013/14 Midyear estimates. o 2,745,590: Census 2011 It is comprised of five districts (viz. Xhariep, Mangaung Metro, Lejweleputswa, Thabo Mofutsanyane and Fezile Dabi). All the districts are crowded by squatter camps, Census 2011 Municipal report, Free State, Report 03-01-52 Background

5 Demographics Figure 1: Distribution of the population by age and sex, Free State – 1996, 2001 and 2011 Census 2011 Municipal report, Free State, Report 03-01-52

6 HIV prevalence among antenatal women

7 Results of the Antenatal survey prevalence FS province, 2011 Source: The 2011 National Antenatal Sentinel HIV& Syphillis

8 Distribution of HIV Population 2004-2013 Source: The Spectrum Model FS results, 2012Source: The Spectrum Model FS results and DHIS

9 New HIV infections FS province, 2004-2012 Source: The Spectrum Model FS results and DHIS

10 ART Need vs. Coverage(15+) Free State province, 2004-2012 Source: The Spectrum Model FS results and DHIS

11 ART Backlog Free State province, 2004-2012 Source: The Spectrum Model FS results and DHIS

12 Distribution of total vs. HIV population in Children Free State province, 2004-2012 Source: The Spectrum Model FS results and DHIS

13 New HIV infections in Children(0-14), 2004-2012 Source: The Spectrum Model FS results and DHIS

14 ART in Children(0-14) Free State province, 2004-2012 Source: The Spectrum Model FS results and DHIS

15 PMTCT Coverage Free State province, 2004- 2012 Source: The Spectrum Model FS results and DHIS

16 MTCT rate vs. PMTCT coverage Free State province, 2004-2012 Source: The Spectrum Model FS results and DHIS

17 Treatment Coverage for HIV+ pregnant women Free State province, 2004-2012 Source: The Spectrum Model FS results and DHIS

18 HIV new infections vs. deaths in Children(0-14) Free State province, 2004-2012 Source: The Spectrum Model FS results, 2012

19 The Impact on the Health Sector Source: The Spectrum Model FS results and DHIS

20 The Impact on the Health Sector Source: The Spectrum Model FS results and DHIS

21 The Impact on the Health Sector Source: 2012/13 DHIS

22 Conclusion Tackling the crisis of HIV and AIDS in Africa is a long-term task that requires sustained effort and planning Prevention of new HIV infections is key element Prevention, treatment, care and support strategies are needed to meet MDG goals, provincial and national strategic plan targets. Mobilizing unprecedented resources for delivering effective HIV programs

23 Thank you.


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