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Decades of research from around the world has demonstrated that gender inequality negatively affects a range of health outcomes for adults, and gender inequality has been recognized as a key driver of the worldwide HIV epidemic. Managers at the national and subnational levels need information on the intersection of gender and HIV to address gender in the planning and implementing of HIV programs. Policy makers need information on interventions that are effective in accounting for gender inequities for decision making on national and global levels. …
This booklet was the result of collaboration among staff of the National AIDS Control Committee, Central Technical Group (CNLS/GTC); the USAID Health Policy Initiative, Task Order 1; and the Joint United Nations Programme on AIDS (UNAIDS). This booklet was prepared with estimates and projections generated by CNLS/GTC staff, using the AIDS Impact Model.
This study is the outcome of close collaboration between UNAIDS and UNICEF, Sierra Leone Country Offices to support the Government of Sierra Leone to respond to the HIV epidemic in the country through the National AIDS Secretariat by initiating the UNAIDS Modes of Transmission model for Sierra Leone. The purpose of the model is to understand the sources of new HIV infections for better programme planning and support of programme pillars. …
The report presents understanding of Namibia's HIV/AIDS epidemic as well as future trends. The projections indicate that a substantial amount of work is needed in responding to the HIV epidemic. The results of the models suggest that estimated adult (ages 15-49) HIV prevalence in 2007/08 was 15.4 percent. Despite stabilizing HIV prevalence, the number of people living with HIV will continue to increase as the total population size in that age range grows. In 2007/08 approximately 204,000 people were living with HIV while in 2012/13 this value is predicted to be 247,000 people.
El documento pdf contiene una presentacións obre los informes UNGASS
This power point presentaion looks at how HIV data can be used to measure HIV prevalence and incidence, AIDS prevalence and incidence and mortality. It also looks at how models can be used to understand the epidemic and its impact. Various graphical illustrations and data from Rwanda, South Africa, Zambia and Kenya are shown.
