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Health GIS & Spatial Epidemiology for Public Health

Unlock spatial solutions for public health research, disease tracking, and epidemiological modeling with our workshop.

Dates: 20 & 27 Jun 2026 and 4 & 11 July 2026 (Weekends)

Timings: 7:00 PM – 9:00 PM IST

Instructor: Dr. Gouri Sankar Bhunia, Remote Sensing and GIS Specialists | 17+ years of industrial and academic experience and Springer Author on Geospatial Analysis of Public Health (Springer 2018) and GeoComputation and Public Health: A Spatial Approach (Springer 2021)

Empowering Public Health Researcher

Health outcomes are influenced by where people live, work, and access healthcare services. Health GIS enables researchers and practitioners to analyze disease patterns, healthcare accessibility, environmental health risks, and population vulnerabilities through spatial analysis. This hands-on workshop introduces participants to Health GIS and Spatial Epidemiology using open-source tools and real-world datasets. Participants will learn how to map health indicators, assess healthcare accessibility, identify disease hotspots, perform spatial statistical analyses, and create decision-support maps for research and policy applications.

What You’ll Learn:

  • Introduction to Health GIS & Spatial Data Preparation: Understanding Health GIS | Applications in Public Health Research | Healthcare Planning and Disease Surveillance | Health Equity and Spatial Thinking

  • Data Acquisition & Preparation: Installing and Setting Up QGIS | Sources of Open Health Datasets | WHO, DHS, Census and OpenStreetMap Data | Importing, Cleaning and Managing Health Data | Practical Exercise: Mapping Healthcare Facilities | Disease Cases and Administrative Boundaries

  • Healthcare Accessibility & Service Coverage Analysis: Understanding Healthcare Access - Measuring Accessibility to Healthcare Services | Healthcare Catchment Areas | Identifying Underserved Populations

  • Spatial Analysis Techniques: Buffer Analysis | Proximity Analysis | Population Coverage Assessment | Network vs Euclidean Distance | Practical Exercise - Develop a healthcare accessibility map for a selected region.

  • Disease Mapping & Spatial Epidemiology: Disease Pattern Analysis - Thematic Mapping of Health Indicators | Disease Distribution Mapping | Disease Hotspot Identification

  • Spatial Statistics Using GeoDa: Kernel Density Estimation | Moran's I | Local Moran's I (LISA) | Spatial Autocorrelation | Practical Exercise: Detect and interpret disease clusters using real-world datasets.

  • Health Risk Modeling & Decision Support: Health Risk Assessment - Environmental and Socioeconomic Determinants of Health | Population Vulnerability Mapping | Multi-Criteria Health Risk Analysis

  • Communicating Results - Interactive Web Mapping with qgis2web | Publication-Ready Maps | GIS Outputs for Research and Policy

  • Capstone Project: Create a Health Risk and Accessibility Assessment Map integrating: Disease Data | Healthcare Infrastructure | Population Characteristics | Environmental Risk Factors

Tools and Technologies

  • QGIS – Open-source GIS platform for mapping and analysis

  • GeoDa – Tool for spatial autocorrelation and cluster detection

  • qgis2web – Plugin for creating interactive web maps

  • Open Datasets – WHO, HealthMap, Census, OpenStreetMap

  • Data formats: Shapefiles, GeoTIFF, CSV, GeoJSON etc.

Health GIS & Spatial Data Preparation

Explore spatial solutions for healthcare research and disease tracking.

Thematic Mapping, Accessibility & Proximity Analysis

Hands-on workshop focusing on real-world applications of health GIS.

Spatial Statistics & Disease Cluster Analysis

Learn to model disease spread using GIS tools and datasets.

Learn to use Multi-Criteria Health Risk Zoning using Raster and Vector Overlay

Health Risk Modeling & Web Mapping
Major tools and plugins
  • QGIS – Open-source GIS platform for mapping and analysis

  • GeoDa – Tool for spatial autocorrelation and cluster detection

  • qgis2web – Plugin for creating interactive web maps

  • Open Datasets – WHO, DHS, Census, OpenStreetMap

  • Data formats: Shapefiles, GeoTIFF, CSV, GeoJSON etc.

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Contact Us

Reach out for inquiries about our health GIS workshop.

contact@indaca.in

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