Evaluating and enhancing the scale-up and population impact of concurrent HIV/AIDS prevention and treatment services in a well-characterised previously declining epidemic in sub-Saharan Africa.

In Zimbabwe, researchers are tracking 12,000 people over time to measure whether the country’s expanded HIV prevention and treatment services are actually cutting new infections and deaths. This matters because Zimbabwe’s HIV epidemic, once declining, could stall or reverse if services are not reaching the right people effectively. The research fills a gap: most studies measure clinic-level outcomes, not population-level impact. By combining long-term health data with mathematical models, the team can isolate which specific services—such as antiretroviral therapy or condom distribution—are driving any observed changes. If successful, the work will show policymakers exactly where to strengthen service delivery, from improving drug supply chains to addressing why some people avoid clinics. The findings could reshape how other sub-Saharan countries allocate limited resources for HIV programmes. This is applied public health research: its direct goal is to save lives by making existing tools work better at scale, not to discover new biological mechanisms.