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 gaps
Optimize resource allocation for epidemics, maternal health, or vaccination campaigns
Analyze human mobility patterns (e.g., migration, urban-rural flows) to predict disease spread
Integrate geospatial tools with health platforms like DHIS2 for decision-making
Key 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 systems
Who Should Enroll?
Health program managers and epidemiologists
Data analysts in NGOs/government agencies
GIS specialists working in African contexts
Researchers studying disease dynamics or health equity
Outcome:
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.