This course explores the transformative role of geospatial data (GIS) and mobility datasets in designing targeted, data-driven health interventions across Africa. Participants will learn how to harness satellite imagery, GPS tracking, mobile network data, and spatial analytics to:Map disease outbreaks and health service gapsOptimize resource allocation for epidemics, maternal health, or vaccination campaignsAnalyze human mobility patterns (e.g., migration, urban-rural flows) to predict disease spreadIntegrate geospatial tools with health platforms like DHIS2 for decision-makingKey Topics Covered:📍 Geospatial Fundamentals: GIS mapping, satellite data, and spatial statistics for public health📍 Mobility Data Sources: Mobile network data, GPS trails, and transport datasets📍 Use Cases in Africa: Malaria surveillance, emergency response, and healthcare accessibility modeling📍 Tools & Workflows: QGIS, Python/R for spatial analysis, and interoperability with health systemsWho Should Enroll?Health program managers and epidemiologistsData analysts in NGOs/government agenciesGIS specialists working in African contextsResearchers studying disease dynamics or health equityOutcome:By the end, learners will be able to design geospatial health projects, interpret mobility patterns, and advocate for evidence-based solutions tailored to Africa’s unique challenges.Format: Self-paced modules, case studies, and hands-on mapping exercises.
5 Lessons
Updated: Jun 2025
