Geospatial Intelligence & Disease Risk Mapping

Risk on the map

See the whole country, then every ward

Start from the national picture and follow the real administrative hierarchy down to the H3 grid, with population, facilities, intervention gaps and climate layered on the same map.

Real boundaries for each country, down to ward or village
Hotspots, gaps and facilities layered on one map
Print-ready maps and GeoJSON for your own GIS

<35
35–54
55–74
75+

Rank #3 of 14

Amber Ridge

High risk

Forecast risk72

Priority score64

Trend (10 wk)

Children under 514.2%
Travel time to facility97 min
Net coverage65%
Test positivity40.9%

Suggested public health investigation

Assess outreach options for remote settlements; consider community case management.

Illustrative explorer - fictional areas, simulated indicators and illustrative weighting.

What's included

Capabilities at a glance

Real administrative boundaries

Works with each country's own hierarchy: State → LGA → Ward, or State → District → Block → Village.

Map layers

Hotspots, populations at risk, intervention gaps and health facilities, layered on one map.

Drill-down

Move from national level down to small local areas on a hexagonal H3 grid.

Spatial tools

Draw a polygon or radius to query an area, and measure distances directly on the map.

Environmental intelligence

Rainfall and climate data from NASA POWER, linked to disease risk.

Exports

Print-quality maps for briefings, and GeoJSON for your own GIS tools.

How it works

From data to decision

01
Locate
Start on the national map and see where risk is concentrated.
02
Drill down
Follow the administrative hierarchy, then the H3 grid, to the local area.
03
Understand
Overlay population, facilities, gaps and climate to see why risk is high there.
04
Share
Export a print-quality map or GeoJSON for planning and field teams.

Platform Intelligence