| EPE0977 | Using Prevention Self-Assessment Tool (PSAT) to develop action plans and optimise technical assistance for key populations programmes: the case of South to South Learning Network in Kenya | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0978 | Client cohorting, community outreach, and on-site sample preparation increase HIV viral load coverage in Western Zimbabwe, 2022 | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0979 | Community perspectives on mapping and size estimation of key population in virtual space | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0980 | Deploying eHealth to facilitate community verbal autopsy for HIV mortality surveillance: lessons from Nigeria | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0981 | Comparative analysis of ART coverage by place of residence and place of treatment | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0982 | Prediction of disengagement from HIV care using routinely collected medical record data and machine learning | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0983 | Identifying efficiency estimates and associated factors for HIV testing, treatment, and viral load suppression programs in 25 PEPFAR-supported countries, 2016-2021 | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0984 | Machine learning for identifying treatment interruption among people living with HIV in Nigeria: challenges and lessons | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0985 | Applying machine learning methods to improve quality of HIV people monitoring data in Vietnam | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0986 | Using electronic tools for optimization of data management within the determined, resilient, empowered, AIDS free, mentored and safe program in Matabeleland South, Midlands, and Mashonaland Central Provinces of Zimbabwe, 2022 | E-poster | Innovations in data collection, monitoring and evaluation |