Around the world, countries are closing the gap between TB and HIV data silos so decisions rest on the same, verified numbers. In 2023 an estimated 10.8 million people fell ill with TB and 1.25 million died. TB likely returned as the top infectious killer.
Meanwhile, by the end of 2024 there were 40.8 million people living with HIV, 1.3 million new infections, and 630,000 HIV-related deaths, while TB remains the leading cause of death among people with HIV.
These are solvable data problems: When systems are interoperable and routinely reconciled, prevention, treatment, and supply planning get sharper, and lives are saved.
That is exactly what this working session modeled: Teams validated end-to-end flows by triangulating ETL and CTC sources, agreed on monthly reconciliation, and standardized backlog extraction using ETL favorites, pivots, and scoreboards.
The result is clear ownership, cleaner cascades (screening, TPT, treatment outcomes), and a shared playbook for partner scale-up. This is the same pattern high-performing programs use globally: standards-based exchange, disciplined data governance, and routine variance logs that keep program data and HMIS in lockstep.
That alignment strengthens routine reporting, quantification, and partner planning, and it pushes us closer to the End TB milestones and the 95-95-95 HIV targets.