raymondchoga/zimbabwe-emergency-healthcare-accessibility

# Emergency Healthcare Accessibility in Zimbabwe A national analysis of travel time to public emergency healthcare in Zimbabwe, under normal conditions and during a modelled 1-in-50-year river flood (RP50), for both driving and walking. Built for identifying underserved communities and communities at risk of being cut off from care during flooding. **Full technical report:** `report/ZW_Health_Access_Technical_Report.docx`. Covers methodology, data sources and limitations, national results, the two maps below, and six community case studies written in plain language. ## Key findings - Under normal conditions, **64.9% of the population (9.84M people)** is well-served by vehicle (under 30 minutes to the nearest of 1,486 public health facilities), but only **16.0% (2.43M people)** is well-served on foot. This driving/walking gap is one of the central findings of the analysis: for a large share of the country, "well-served" depends on vehicle access, not physical distance to care. - Under the flood scenario, **323,420 people** who are reachable at baseline by vehicle become completely cut off (no surviving route, checked exhaustively, by any path). **260,267 people** are newly cut off on foot. - Six representative communities were traced route-by-route as case studies; in every one, the flood leaves no surviving path to care by either mode. ## Interactive map Explore the results yourself: **raymondchoga.github.io. Toggle driving/walking, switch layers on and off, and click any of the six case studies for detail. ## Maps | Driving | Walking | |---|---| | | | Each map combines baseline and flood results into one four-category picture: well-served and unaffected by the flood, persistently underserved/critical, degraded by flood (not cut off), and newly cut off by flood. Full-resolution PNGs are in `maps/`. ## Repository structure ``` data/processed/ Final analysis outputs (GeoPackages + rasters), see table bel …