Geographic Information Systems (GIS) in Public Health Disease Mapping

Course Title: Geographic Information Systems (GIS) in Public Health Disease Mapping

Executive Summary

This two-week intensive course equips public health professionals with the essential skills to utilize Geographic Information Systems (GIS) for effective disease mapping and spatial analysis. Participants will learn to collect, manage, analyze, and visualize spatial data to identify disease patterns, risk factors, and vulnerable populations. The course covers fundamental GIS concepts, data sources, spatial statistics, and mapping techniques relevant to public health surveillance and intervention. Hands-on exercises and real-world case studies will enable participants to apply GIS tools to address pressing public health challenges such as infectious disease outbreaks, environmental health hazards, and health disparities. By the end of the course, participants will be proficient in using GIS to inform public health decision-making and improve health outcomes.

Introduction

Geographic Information Systems (GIS) have become indispensable tools for public health professionals seeking to understand and address health challenges through a spatial lens. Disease mapping, a core application of GIS in public health, enables the visualization and analysis of disease patterns, the identification of risk factors, and the targeting of interventions to specific populations and geographic areas. This two-week training course is designed to provide public health professionals with a comprehensive understanding of GIS principles and techniques for disease mapping and spatial analysis. The course will cover a range of topics, including GIS fundamentals, data sources for public health, spatial statistics, mapping techniques, and real-world applications of GIS in disease surveillance, outbreak investigation, and health planning. Participants will gain hands-on experience using industry-standard GIS software to analyze and visualize spatial data, create maps, and conduct spatial analyses relevant to their specific areas of interest. This course aims to empower public health professionals with the skills and knowledge to effectively use GIS to improve public health decision-making and ultimately, improve health outcomes.

Course Outcomes

• Understand fundamental GIS concepts and principles.
• Acquire, manage, and integrate spatial data from various sources.
• Apply spatial analysis techniques to identify disease patterns and risk factors.
• Create effective and informative disease maps for communication and decision-making.
• Utilize GIS for public health surveillance and outbreak investigation.
• Conduct spatial epidemiology studies to investigate disease clusters and environmental health hazards.
• Apply GIS to address health disparities and improve health equity.

Training Methodologies

• Interactive lectures and discussions.
• Hands-on exercises using GIS software.
• Case study analysis of real-world public health applications.
• Group projects involving disease mapping and spatial analysis.
• Guest lectures from GIS and public health experts.
• Online resources and tutorials for self-paced learning.
• Individual consultations and feedback.

Benefits to Participants

• Enhanced skills in GIS and spatial analysis.
• Improved ability to visualize and analyze disease patterns.
• Greater understanding of the spatial determinants of health.
• Increased effectiveness in public health surveillance and intervention.
• Expanded career opportunities in public health and related fields.
• Networking opportunities with other public health professionals.
• Certification of completion recognizing proficiency in GIS for public health.

Benefits to Sending Organization

• Improved disease surveillance and response capabilities.
• Enhanced ability to identify and address health disparities.
• More effective resource allocation for public health programs.
• Improved communication of public health information to stakeholders.
• Increased efficiency in data collection and analysis.
• Strengthened partnerships with other organizations.
• Enhanced reputation as a leader in public health innovation.

Target Participants

• Public health professionals.
• Epidemiologists.
• Health planners.
• Environmental health specialists.
• Infectious disease control officers.
• Researchers in public health.
• GIS specialists working in public health.

WEEK 1: Foundations of GIS and Spatial Data for Public Health

Module 1: Introduction to GIS Concepts and Principles

1. Definition and components of GIS.
2. Spatial data models: vector and raster.
3. Coordinate systems and map projections.
4. GIS software and hardware overview.
5. Introduction to ArcGIS Pro.
6. Basic GIS operations: data input, editing, and querying.
7. Hands-on exercise: Creating a basic map in ArcGIS Pro.

Module 2: Spatial Data Sources for Public Health

1. Census data and demographic information.
2. Health statistics and vital records.
3. Environmental data: air and water quality.
4. Disease surveillance data: case reports and laboratory results.
5. Remote sensing data: satellite imagery and aerial photography.
6. Online data repositories: CDC, WHO, and other sources.
7. Exercise: Accessing and downloading public health data.

Module 3: Geocoding and Spatial Data Integration

1. Geocoding principles and methods.
2. Address matching and error correction.
3. Spatial data integration techniques: joining and merging.
4. Data quality control and validation.
5. Spatial data formats and conversions.
6. Working with shapefiles and geodatabases.
7. Hands-on exercise: Geocoding public health data.

Module 4: Data Visualization and Mapping Techniques

1. Principles of cartographic design.
2. Symbology and color schemes.
3. Map labeling and annotation.
4. Creating thematic maps: choropleth, proportional symbol, and dot density maps.
5. Map layouts and exporting maps for publication.
6. Interactive mapping with web GIS.
7. Exercise: Creating a disease map using ArcGIS Pro.

Module 5: Introduction to Spatial Analysis

1. Spatial queries and selections.
2. Buffering and proximity analysis.
3. Overlay analysis: intersection, union, and difference.
4. Spatial statistics: measures of spatial autocorrelation.
5. Hot spot analysis using Getis-Ord Gi*.
6. Introduction to spatial modeling.
7. Hands-on exercise: Conducting a spatial analysis of disease clusters.

WEEK 2: Advanced GIS Techniques for Disease Mapping and Spatial Epidemiology

Module 6: Spatial Statistics for Public Health

1. Spatial autocorrelation and Moran’s I.
2. Kernel density estimation.
3. Regression analysis with spatial data.
4. Geographically Weighted Regression (GWR).
5. Spatial econometrics.
6. Cluster detection and analysis.
7. Exercise: Conducting spatial statistical analysis of disease data.

Module 7: Disease Mapping and Surveillance

1. Mapping disease incidence and prevalence.
2. Identifying high-risk areas and populations.
3. Monitoring disease trends over time.
4. Early warning systems for disease outbreaks.
5. Spatial decision support systems for public health.
6. Using GIS for emergency response.
7. Case study: Disease mapping for malaria control.

Module 8: Spatial Epidemiology and Environmental Health

1. Spatial analysis of environmental exposures and health outcomes.
2. Investigating disease clusters near environmental hazards.
3. Mapping air and water pollution.
4. Assessing the impact of climate change on public health.
5. Using GIS for exposure assessment.
6. Spatial modeling of disease transmission.
7. Case study: Investigating the spatial distribution of cancer.

Module 9: GIS for Health Disparities and Health Equity

1. Mapping health disparities by race, ethnicity, and socioeconomic status.
2. Identifying areas with limited access to healthcare.
3. Analyzing the spatial distribution of social determinants of health.
4. Using GIS to target interventions to vulnerable populations.
5. Promoting health equity through spatial planning.
6. Community-based participatory GIS.
7. Case study: Using GIS to address health disparities in urban areas.

Module 10: Advanced Topics and Future Trends in GIS for Public Health

1. Web GIS and online mapping platforms.
2. Mobile GIS and data collection in the field.
3. Big data analytics and spatial data mining.
4. Geospatial artificial intelligence and machine learning.
5. Integrating GIS with electronic health records.
6. Ethical considerations in using GIS for public health.
7. Future directions for GIS in public health research and practice.

Action Plan for Implementation

1. Identify a specific public health problem in your organization that could benefit from GIS analysis.
2. Gather relevant spatial data from internal and external sources.
3. Develop a GIS project plan with clear objectives, timelines, and deliverables.
4. Conduct spatial analysis and create maps to address the public health problem.
5. Share your findings with stakeholders and decision-makers.
6. Implement evidence-based interventions based on the GIS analysis.
7. Evaluate the impact of the interventions using GIS and other methods.