Optimizing Locations of New Healthcare Facilities
This GIS-driven project focused on optimizing the locations of new healthcare facilities in Kiambu County. The goal was to ensure better access to healthcare services, particularly for underserved areas.
By analyzing geospatial data, population density, and existing infrastructure, the project identified the most strategic locations for new facilities, enhancing healthcare resource distribution and public health outcomes.
Summary of Project Findings
Download Full Research PaperIsochrone Accessibility
Visualizing healthcare accessibility involved generating isochrones showing areas reachable within a 15-minute travel time to Level 5 hospitals.
Simplified Accessibility Zones
Overlapping isochrones were combined into simpler zones, providing a clearer view of regions reachable within 15 minutes. Population density is represented as a heatmap.
Candidate Sites for Healthcare Facilities
A grid-based analysis identified potential healthcare facility sites by evaluating population density and proximity to infrastructure.
Optimal Site Selection
The final site was selected based on coverage, proximity, and utilization patterns to maximize accessibility and efficiency.
Key Insights from Demand Analysis and Site Selection Criteria
- Original Demand: Established the baseline for healthcare needs based on historical data.
- Expected Demand: Predicted future demand using machine learning models, accounting for dynamic factors like population density.
- Zeroed Demand: Identified areas with negligible current demand, aiding resource optimization.
- Population Coverage: Maximized coverage within 15-minute travel zones.
- Distance Decay Logic: Ensured realistic accessibility based on travel preferences.
- Healthcare Facility Capacity: Balanced capacity with projected demand.
- Proximity to Roads: Prioritized sites within 3 kilometers of roads for easy access.