Back

The development of IeDEA's Treat All Dashboard on HIV care outcomes at participating clinics in Sub-Saharan Africa

Brazier, E.; Berry, A.; Katz, B.; Lewis, J. T.; Duda, S. N.; Semeere, A.; Huwa, J.; Jaquet, A.; Twizere, C.; Diero, L. O.; Rafael, I.; Dabis, F.; Muhoza, B.; Nash, D.

2025-11-20 health informatics
10.1101/2025.11.20.25340413 medRxiv
Show abstract

Data dashboards are popular tools for communicating information and monitoring progress towards public health goals. To facilitate access to information on key metrics and emergent trends related to the roll-out of universal HIV treatment across diverse settings, the International epidemiology Databases to Evaluate AIDS (IeDEA) leveraged real-world service delivery data from clinics in sub-Saharan Africa to develop 1) a publicly accessible interactive dashboard displaying regional and country-level metrics related to HIV care outcomes across IeDEA sites in sub-Saharan Africa; and 2) a password-protected dashboard displaying similar metrics at the clinic level for staff at sites that contribute data to the IeDEA consortium. This paper describes the development of these dashboards and lessons learned.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.