Training on GIS and Remote Sensing for Epidemiology and Public Health

Module 1: Foundations of GIS and Remote Sensing in Public Health

• Principles of Geographic Information Systems (GIS) and spatial epidemiology
• Introduction to satellite imagery and integration with health data
• Role of geospatial tools in public health decision making
• Understanding spatial relationships in disease distribution
• Case Study: Application of GIS in malaria surveillance and control

Module 2: Geospatial Data Collection and Management

• Sources of health, demographic, and environmental data
• Data cleaning, coding, georeferencing, and validation techniques
• Building and managing spatial health databases
• Ensuring accuracy, consistency, and usability of geospatial data
• Practical: Develop a basic spatial health database using sample datasets

Module 3: Spatial Epidemiology and Disease Mapping

• Mapping disease prevalence, incidence, and distribution patterns
• Identifying clusters, hotspots, and spatial trends
• Introduction to spatial epidemiological analysis techniques
• Using maps to support public health decision making
• Case Study: Mapping measles outbreaks in rural and urban settings
• Practical: Create a disease distribution and hotspot map

Module 4: Remote Sensing for Environmental Health Monitoring

• Using satellite data to assess environmental health risks
• Monitoring air, water, and land related health indicators
• Climate and vegetation indices for disease risk analysis
• Linking environmental changes to public health outcomes
• Practical: Analyze climate data to assess potential health risks

Module 5: GIS in Outbreak Surveillance and Early Warning Systems

• Real time geospatial surveillance systems in public health
• Predictive modeling for epidemics and pandemics
• Early warning systems for disease outbreak detection
• Role of GIS in rapid public health response
• Case Study: GIS applications in Ebola outbreak response

Module 6: Accessibility and Resource Allocation Analysis

• Health facility location analysis and service coverage mapping
• Assessing accessibility and equity in healthcare delivery
• Using GIS for efficient resource allocation and planning
• Identifying underserved populations and service gaps
• Practical: Model health service accessibility and coverage

Module 7: Advanced Spatial Analysis for Public Health

• Spatial regression, interpolation, and spatial autocorrelation techniques
• Risk factor mapping and statistical health modeling
• Advanced spatial data interpretation for health planning
• Integrating statistical methods with GIS analysis
• Case Study: Tuberculosis risk mapping in urban populations

Module 8: Communicating Geospatial Health Insights

• Designing effective health dashboards and visualizations
• Data storytelling using maps and spatial outputs
• Communicating geospatial findings to policymakers and stakeholders
• Enhancing decision making through visualization tools
• Practical: Design an interactive public health map or dashboard

Module 9: GIS in Public Health Policy and Program Design

• Using GIS in immunization and health intervention planning
• Disaster preparedness and emergency response planning
• Supporting evidence based public health policy development
• Strengthening health systems through spatial intelligence
• Case Study: GIS in COVID 19 vaccination rollout strategies

Module 10: Integrated Project and Case Study Presentations

• Group based real world public health GIS projects
• Integration of GIS, remote sensing, and epidemiological analysis
• Translating spatial data into decision support systems
• Presentation of findings and peer feedback
• Final Project: End to end geospatial public health analysis and presentation