Voronoi polygons partition a map into regions based on proximity to specific points. The map was partitioned based on the area/km2 that the health facility is serving
# Health-Facilities-Gaps-in-Nigeria-
Voronoi polygons partition a map into regions based on proximity to specific points. The map was partitioned based on the area/km2 that the health facility is serving
## Overview
- Voronoi polygons partition the map into regions based on proximity to a health facility.
- A large catchment area indicates seed point has a wide coverage that is the area is underserved.
- A small catchment area indicates seed point has a small coverage that is the area is well-served.
- States with less than 20 healthcare facilities were highlighted as areas with urgent need for more hospitals
## Method
- Healthcare facilities were spatially distributed.
- Catchment areas were color-coded by size (km²):
- Yellow: Smaller areas (better coverage)
- Red: Larger areas (underserved regions)
- Numbers of facilities per states were counted, and those with less than 20 hospitals were highlighted with purple
- Less than 20 was considered in respect to the average number of local government regions in Nigeria which is 20
## Tools
- QGIS
## Key Insights
- Large catchment areas (underserved)
* Taraba
* Kogi
- Yobe
- Small catchment areas (well served)
- Sokoto
- Kebbi
- Jos
- States with less than 20 health facilities:
There are 8 states with less than 20 health facilities which includes Taraba, Ekiti, Katsina, Osun, Enugu, Ebonyi, Akwa Ibom, and Imo.
These 8 state will need more health facilities especially Taraba with the largest catchment area
## Limitation
- Does not account for population density.
- High-population states like Lagos may appear well-served spatially.
- However, facility-to-population ratio may still be inadequate.
- Also, those with a small population density will need fewer facilities.
- Accessibility does not always equal capacity to meet demand.
- Ignores other factors such as transportation infrastructure (road access, travel time) and geographical barriers (rivers, terrain).