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.
Demographic Shift in Southern Africa: 10- to 29-year-olds
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.
How to Fix the Four Major Problems with Data for HIV Prevention
How to fix the four major problems with data for HIV prevention.
Key Populations and Data Gaps
Where data do not exist, new and innovative approaches to gathering it via partnerships with civil society should be implemented.
Not on Track: The Slow Pace of VMMC Scale-up
More than five years ago, epidemiologists and modelers helped set a target of 20 million VMMCs in 14 key countries in sub-Saharan Africa by 2015. WHO’s official tally is 11.7 million cumulative procedures through the end of 2015. That’s 60 percent of the original target—and will avert 335,000 new HIV infections by 2020. Excerpted from AVAC Report 2016: Big Data, Real People.
Prevention Data Dashboards: A Key Tool for Impact on the Epidemic
Big data tells us far too little about HIV negative people in key populations. This infographic from AVAC Report 2016: Big Data, Real People, proposes the development of a Prevention Data Dashboard that would guide the field toward a deeper understanding of how to reach high-risk populations and keep them HIV negative. The dashboard would create a toolbox of visual data on referral rates, characteristics of high-risk populations, and the uptake and success of different prevention strategies.
Progress in VMMC Projected Through 2015
VMMC is falling short of the target. Global figures for VMMC puts the number of VMMC in 14 key countries at 11.7 million—only 60 percent of the 2015 goal of 20 million. Excerpted from AVAC Report 2016: Big Data, Real People.
Responsible Data
In today’s world, effective data examines enormous volumes of sensitive and personal information. Data must be collected and handled in accordance with a fundamental respect for individual privacy, dignity and safety. Excerpted from AVAC Report 2016: Big Data, Real People.
Talking about Revolutions: Definitions of Data-Driven Changes
With an explosion in the volume of data, the speed at which data are produced and the range of subjects on which there is data, we need to define some terms.