Using geographic data to map health systems, track disease patterns, and inform evidence-based policy and resource allocation.
Geographic Information Systems (GIS) and spatial analytics are powerful tools for understanding the geographic distribution of health needs, resources, and outcomes.
At UWRA, we use GIS to map health facilities, track disease patterns, identify service gaps, and inform resource allocation — enabling data-driven decisions that improve health systems and community outcomes.
When we understand where health challenges are greatest, we can target our interventions where they are needed most.
How we use spatial analytics to improve health systems and community well-being.
Comprehensive mapping of health facilities, service delivery points, and community health worker locations to identify coverage gaps.
Tracking disease outbreaks, identifying hotspots, and monitoring epidemiological trends using geospatial data.
Analyzing population density, demographic patterns, and vulnerable populations to inform targeting and resource allocation.
Mapping patient referral pathways, identifying bottlenecks, and optimizing health system networks for better patient flow.
Using spatial analysis to guide the equitable distribution of health resources, including staffing, supplies, and funding.
Mapping environmental risk factors — including climate, water, and sanitation — that affect community health outcomes.
Current initiatives applying geospatial intelligence to solve real-world health challenges.
A comprehensive mapping of all health facilities, community health units, and referral networks across 8 counties, with service readiness indicators.
GIS-based disease surveillance system for early detection and monitoring of disease outbreaks, integrating community and facility data.
Spatial analysis of referral patterns and patient flow to identify gaps, optimize referral networks, and improve patient access to care.
Mapping community health worker deployment and population coverage to identify under-served areas and optimize CHW placement.
Join us in using geographic data to improve health systems, track disease, and inform policy. We welcome collaborations with governments, researchers, and technology partners.