Cultivating the next generation of African leaders.

A hands-on introduction to spatial health data, Earth observation grids, and AI-powered database queries. Work through six Jupyter notebooks — from geocoded health records to satellite exposure extraction to a natural-language GeoAI interface over an environmental database.

A lighter, high-school on-ramp to our senior GeoAI course. "Is the air around you making you sick?" — four short, visual stops covering why air pollution matters, how satellites see it from space, and a chance to ask a research assistant your own questions about real neighborhoods, no code required.

Health geography links health and disease outcomes to the socio-cultural and physical environments and places that generate them. Learn how geography mediates health outcomes, how to disaggregate health data in space to reveal new insights, and how to design more precise, locally-tailored public health interventions. Material is based on findings from PALs published work.

Geographical proximity to health services is a known determinant of access and better health outcomes. Learn how GIS is used to quantify spatial access to care, measure disparities across populations, and support evidence-based planning. After this course you'll have the core skills to progress to advanced spatial modelling in health geography.

A hands-on short course for researchers, public health professionals, and students investigating how environmental exposures affect health, with a focus on maternal and newborn outcomes. Held for the first time in April 2026 in Harare, drawing participants keen to strengthen causal-inference and environmental exposure analysis skills — and now established as an annual fixture on the PALs training calendar.

Turn raw GPS tracks from wearables, phones and low-cost sensors into personal air-pollution and heat-stress exposure estimates — using the live SPECTRA web app. Field mapping, indoor/outdoor classification, dwell-time weighting, micro-environment segmentation, quality assessment and export. Hands-on with Zimbabwe datasets (PM2.5, NO₂, WBGT).

Turn any study grid into 57 satellite and geospatial exposure indicators — air quality, climate, vegetation, land cover, population, terrain and road-emission proxies — for places with sparse ground monitoring. Run extractions, read interactive maps (point & 100 m pixel surface, switchable basemaps), explore relationships, and export as GeoTIFF/NetCDF/CSV.

Spatial analysis of disease outcomes using R and sf. Covers choropleth mapping, Kulldorff scan statistics, and regression with spatially correlated residuals. Based on real DHIS2 district data.

Learn to build automated pipelines that extract ERA5, MODIS, CHIRPS, and Sentinel-2 data at participant locations over a study period. Covers service account auth, FeatureCollection workflows, and export to BigQuery.