Dunsin11/spatial-analysis-health-facilities-nigeria

GIS-based spatial analysis of health facility distribution across Nigerian states using Voronoi polygons to identify underserved areas and propose optimal locations for new health facilities. Data source: DHIS2 # Spatial Analysis of Health Facility Distribution in Nigeria ## Overview This project presents a GIS-based spatial analysis of health facility distribution across Nigerian states and Local Government Areas (LGAs). Using QGIS and Voronoi polygon analysis, the project identifies underserved areas and proposes optimal locations for new health facilities to improve geographic accessibility and resource distribution. ## Author **Dunsin Adetuberu** | Epidemiologist ## Objectives - Map the spatial distribution of existing health facilities across Nigeria - Identify geographic gaps in health facility coverage using Voronoi polygons - Highlight underserved states and LGAs with large catchment areas - Propose new facility locations to optimise geographic accessibility ## Data Source - **DHIS2** (District Health Information System 2) - Nigeria state and LGA boundary shapefiles ## Tools & Software | Tool | Purpose | |---|---| | QGIS | Spatial analysis and mapping | | Voronoi Polygons | Facility catchment area delineation | | DHIS2 | Health facility location data | ## Key Analyses - Health facility point mapping across all 36 states + FCT - Voronoi polygon generation to define facility catchment areas - Catchment area classification by size (km²) - Identification of underserved areas (catchment area > 7,782 km²) - Recommendation of new facility locations in gap areas ## Key Findings - **Lagos** had the highest number of facilities (548) while **Anambra** and **Abia** had the fewest (2 each) - Large dark red areas in **Taraba, Ekiti, and Borno** indicate serious facility gaps - **6 new facility locations** (blue stars) were proposed in underserved areas - Catchment areas ranged from **0 to 15,706 km²** across the country ## Catchment Area Classification | Range (km²) | Classification | |---|---| | 0 - 315 | Well Served Areas | | 315 - 1,175 | Moderately Served | | 1,175 - 2,724 | Underserved | | 2,724 - 7,782 | Severely Underserved | | 7,782 - 15,706 | Critical Gap Areas …