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EPCON developed the MATCH-AI platform (also referred to as the Epi-control platform), based on the MATCH framework developed by KIT Royal Tropical Institute and implemented in close collaboration with Mercy Corps. The prospective study in Pakistan was conducted by Mercy Corps, with independent evaluation support from the Center for Global Public Health (CGPH).

We’re excited to welcome Jason Joannou to EPCON as our newest Backend Engineer. Jason joined earlier this year and, just a few weeks in, has already immersed himself in the systems that power our work – with a focus on building technology that serves a purpose beyond the code.

Despite progress, there’s still a gap between people likely to develop TB and those ultimately recorded by NTLP. Risk isn’t uniform: factors like HIV prevalence can differ four-fold across regions, so national averages hide district-level hotspots. The solution is finer-grained estimates, district by district, and targeted action, which is exactly what EPCON’s AI and data-driven modelling enables.

EPCON Highlights Data-Driven TB Hotspot Mapping at The Union Conference in Copenhagen

CAD4TB+: A New Era for TB Detection and Surveillance - we launch the World’s first All-in-One TB Intelligence Platform.

The connection between climate and health is becoming impossible to ignore. Rising temperatures, shifting rainfall patterns, and extreme weather events are no longer abstract environmental challenges — they are directly shaping the spread and severity of diseases.

EPCON had the pleasure of introducing our Epi-control platform to the regional Centers for Health Development (CHDs) across the Philippines.