Spatial analysis in Epidemiology

In this third session of the Introduction to Spatial Epidemiology Training for Health Researchers, the facilitator will guide you step by step through the following topics: • Spatial autocorrelation, dependence, heterogeneity, and Tobler’s First Law of Geography. • Identifying hotspots and high-risk areas. • Role of spatial analysis in epidemiology • Basic statistical tests used in geospatial analysis • Understanding spatial patterns and clustering and disease clustering. • Spatial Regression: Using Geographically Weighted Regression (GWR) to understand environmental factors This session is designed for health researchers, medical students, healthcare workers, and practitioners who are learning to use R for research, data analysis, and evidence-based practice. The R for Fun Club provides a supportive, hands on space for health researchers and practitioners to strengthen their R programming skills after each class. The Afredac Ubuntu Platform is a pan-African peer-to-peer network dedicated to enhancing health research and data science in Africa. It’s a free space for health and data researchers working on African projects to connect through training, share experiences, develop innovations, and drive discoveries across the continent. • AFREDAC Platform: Visit here: https://afredac.net/ • R For Fun Club (RFC): Become a member here: https://afredac.net/groups/r-for-fun-...