New tools and data for understanding HIV epidemic trends in sub-Saharan Africa
Every year, national HIV programmes develop official national estimates of their HIV epidemic and programme response, supported by UNAIDS and partners. These estimates are created by fitting mathematical models to available HIV survey, surveillance and programme data, are adopted as consensus estimates for national HIV programme planning and budgeting and reported to global HIV estimates. In this talk, Jeff will:
- describe the key data, methods, and tools underpinning national estimates of HIV prevalence, HIV incidence, antiretroviral treatment coverage, and progress towards UNAIDS 90-90-90 targets in sub-Saharan Africa,
- introduce new modelling tools released in 2019 to create granular district-level estimates of HIV prevalence, incidence, and ART coverage, and
- review priority data gaps and research priorities for future improvements to HIV estimates and projections.
About the speaker
Jeff Eaton is a Senior Lecturer in HIV Epidemiology in the Department of Infectious Disease Epidemiology at Imperial College London and an Honorary Associate Professor in the Population Studies Group at LSHTM. His research interests involve developing new mathematical models, statistical methods, and surveillance tools to characterize HIV epidemic trends, transmission dynamics, and the demographic impacts of HIV epidemics in sub-Saharan Africa.
He co-chairs the UNAIDS Reference Group on Estimates, Modelling, and Projections which provides guidance to UNAIDS and partner organizations on the data, methods and tools that underpin global HIV estimates published by UNAIDS. He is also has a longstanding interest in the collection and analysis of longitudinal HIV data and is a co-investigator of the ALPHA Network of general population HIV cohorts in sub-Saharan Africa. Jeff holds an MS in Statistics from the University of Washington and PhD in Epidemiology from Imperial College London.