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In the world of public health, national averages can be dangerously misleading. One district may appear “on track” for TB elimination, while a neighboring community faces an unseen outbreak. A country may report progress in HIV testing, but high-risk groups in specific urban slums remain completely underserved.

At the recent KNCV - PCF workshop in Nigeria, organised by the National and State level program, Vincent Meurrens, founder and COO of EPCON, presented the organisation’s contributions and actively participated in technical discussions.

Artificial Intelligence is changing how we predict, prevent, and respond to disease outbreaks. At EPCON, we’ve seen firsthand how AI can offer governments and NGOs a powerful new lens to act faster and smarter.

Strengthening Public Health Systems with AI: EPCON at the World Bank Retreat in Cape Town

Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance

March 24 marks World TB Day – a global call to accelerate efforts toward ending TB.

In low-resource settings, accurately estimating disease burden has always been a daunting challenge.