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Assessing the status of the HIV epidemic requires accurate data to determine the progress of prevention and treatment efforts as well as to determine the way forward. Programmatic and facility-based data have limitations, largely due to selection bias. Mathematical modelling is informative, but does not replace the need for empiric data. Population-level data is important to provide an unbiased “report card” on the state of the epidemic, and will inform the blueprint for future action. The Population-based HIV Impact Assessment (PHIA) Project, funded by PEPFAR, with technical support from CDC and implemented by ICAP at Columbia University, consists of nationally-representative household HIV surveys in 14 countries. Survey outcomes include national HIV incidence among adults, subnational prevalence of viral load suppression, and HIV prevalence among adults and children. This session will provide an introduction to the surveys and will highlight how PHIA data can further inform programming.

10:15
SUSA0201
Overview of findings from the initial PHIA surveys
Jessica Justman, United States
Slides
10:35
SUSA0202
10-10-10: Who are we missing
Deborah Birx, United States
Slides
10:55
SUSA0203
Combining population-based data with facility-based data to support program planning- the case of Malawi and Zimbabwe
Shannon Hader, United States
Slides
11:15
SUSA0204
What can we learn about adolescents and young adults from population-based HIV impact surveys?
Harriet Nuwagaba-Biribonwoha, United States
11:30
SUSA0205
Applying PHIA data to improve modelling of the HIV epidemic
Peter Ghys, Switzerland
Slides
11:45
SUSA0206
Panel: Using PHIA data for program planning for national HIV programs
Alex Opio, Uganda
George Bello, Malawi
Owen Mugurungi
Velephi Okello