Project Objectives​

​

• Predict and map TB burden at subnational level to identify high-risk neighborhoods

• Prioritize locations for community and facility-based Active Case Finding (ACF)

• Develop automated microplanning recommendations to optimize screening schedules

• Provide real-time dashboards and geospatial tools to monitor program performance

• Strengthen local capacity through training and digital integration

EPCON's Approach ​​

 

EPCON’s Epi-control platform is being deployed in Uganda to support data-driven TB control using two core modules:

• Module 1 – Subnational Disease Burden Prediction: Combines TB surveillance, demographic, geographic, and environmental data using Bayesian modeling to identify potential TB hotspots with high precision

• Module 2 – Microplanning: Generates bi-weekly recommendations for screening locations

 

Additional features include:

• A Geoportal that displays predicted hotspots and contextual overlays for field planning

• An M&E Dashboard that tracks screening progress, demographic coverage, and care cascade in near real-time

Key Outcomes and Impact (Expected)

​​

• Enhanced visibility into underserved areas and hidden TB hotspots

• Improved efficiency of ACF teams by prioritizing high-yield locations

• Real-time monitoring of program performance at district and national levels

• Strengthened local ownership and digital capacity for sustainable public health impact

• Platform setup completed in 2024; AI-based screening recommendations and impact validation expected from Q4 2024 onward

Partners and Collaborations 

​​

• Infectious Diseases Institute (iDi)

• Uganda National TB Program

• Local health authorities and regional stakeholders

• USAID