Men and women in specific age groups have distinct health and prevention needs. HIV transmission conforms to specific patterns, depending on age and gender. Effective prevention and Treatment U=U must reflect the needs of each profile. Excerpted from AVAC Report 2016: Big Data, Real People.
A Cycle of Transmission in South Africa
A Map of Missed Chances: Oral PrEP Rollout and Further Research on Dapvirine Vaginal Ring
Ideally, prevention strategies would be coordinated and integrated into comprehensive programs. The field would gain vital knowledge as people respond to a selection of options. Instead, product-specific programs, such as the delivery of oral PrEP or research trials on the dapivirine vaginal ring, become available in isolation from one another. Excerpted from AVAC Report 2016: Big Data, Real People.
After the HIV Test: Targets and Progress in Making and Measuring Linkages
If a person tests HIV-negative, the next steps are poorly understood. This infographic from AVAC Report 2016: Big Data, Real People, shows a cascade of interventions needed for prevention, as well as the existing structure in place to guide an HIV positive individual from testing to Treatment U=U.
Biomedical Prevention in 2016 – At a Glance
A snapshot of prevention strategies underway or under development from 2015-2020. Excerpted from AVAC Report 2016: Big Data, Real People.
Contraceptives: A Global Access Emergency
Access to contraceptives for older women is far too limited, and for younger women the very low numbers represent an urgent matter. Excerpted from AVAC Report 2016: Big Data, Real People.
Dapivirine Vaginal Ring Results
An overview dapivirine ring results and the product pipeline. Excerpted from AVAC Report 2016: Big Data, Real People.
Broad Data Needs for Women and Girls
There is a serious dearth of data on a range of factors affecting women and girls that must be addressed. Effective programs require data on characteristics such as education, employment, HIV status and health outcomes. Excerpted from AVAC Report 2016: Big Data, Real People.
Demographic Shift in Southern Africa: 10- to 29-year-olds
Early gains in the fight against HIV could be lost if the growing population of young women in sub-Saharan Africa is neglected. Excerpted from AVAC Report 2016 Big Data Real People.
Four Problems with Data Points for HIV prevention
The four problems with data points for HIV prevention.
HIV Prevention Research Status Report
A survey of prevention strategies and the status of their safety and efficacy. Excerpted from AVAC Report 2016: Big Data, Real People.