Disease Intelligence & Geospatial Modeling

High-resolution disease intelligence systems — Bayesian geostatistics, integrated surveillance, and agent-driven pipelines for ministries, research institutes, and global health partners.

What We Deliver

Bayesian geostatistical risk surfaces for malaria, dengue, NCDs and emerging pathogens

Integrated surveillance pipelines (DHIS2, KoboToolbox, EHR, remote sensing)

Outbreak detection, R-effective tracking and forecast-to-decision workflows

Composite environmental and health indicators across 55 AU member states

Two-stage mechanistic + statistical models built in greta, Stan, INLA

Agent-driven data refresh — pipelines that retrieve, validate and re-fit nightly

Sectors

Ministries of Health, WHO, MAP, Vector Atlas, NMCPs, research institutes

Tools & Technologies

R · Python · greta · Stan · INLA · Google Earth Engine · DHIS2

Interested in Disease Intelligence?

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