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Health GIS & Epidemiological Studies

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

Dates: Aug 23–24 & Aug 30–31, 2025 (Weekends)

Timings: 7:00 PM – 9:00 PM IST

Instructor: Dr. Gouri Sankar Bhunia, Remote Sensing and GIS Specialists | 16+ 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 Health Researcher

The growing demand for spatial solutions in healthcare research, disease tracking, and epidemiological modeling makes Health GIS a powerful tool for public health professionals, researchers, epidemiologists, and policy makers. This workshop introduces participants to the principles, tools, and applications of Health GIS using Open Source Software, focusing on real-world case studies and hands-on practice. Whether you're a public health researcher mapping disease spread or a student building your thesis with spatial health data, this training is designed to equip you with the necessary skills, workflows, and datasets to build powerful GIS-based health research projects.

purple and black round textile
purple and black round textile

What You’ll Learn:

Introduction to Health GIS & Spatial Data Preparation

  • Basics of Health GIS: Concepts, Importance, and Research Scope

  • Installing & Setting Up QGIS for Health Research

  • Sources of Open Health Datasets (WHO, DHS, OpenStreetMap, etc.)

  • Importing, Cleaning & Visualizing Spatial Data

  • Mapping Health Facilities, Cases, and Administrative Boundaries

Thematic Mapping, Accessibility & Proximity Analysis

  • Creating Thematic (Choropleth) Maps of Health Indicators

  • Buffer Zones for Health Access (e.g., Clinics within 5km)

  • Network vs Euclidean Distance in Health Accessibility

  • Overlaying Population Density with Disease Layers

  • Basic Raster Integration: Land Use, Air Pollution & Risk Zones

Spatial Statistics & Disease Cluster Analysis

  • Hotspot Mapping using Kernel Density Estimation (KDE)

  • Introduction to GeoDa for Spatial Epidemiology

  • Performing Moran’s I and LISA Cluster Analysis

  • Understanding Spatial Autocorrelation in Disease Patterns

  • Interpreting Health Clusters with Geo-visual Outputs

Health Risk Modeling & Web Mapping

  • Multi-Criteria Health Risk Zoning using Raster Overlay

  • Weighted Layer Analysis: Socioeconomic, Environmental & Health Indicators

  • Creating Interactive Web Maps using qgis2web

  • Final Project Demonstration + Q&A

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 – Core mapping & spatial analysis tool with plugins like MMQGIS, QuickMapServices, Heatmap, and qgis2web for data management, basemaps, hotspot mapping, and web map export.

GeoDa – Spatial statistics software for disease clustering (Moran’s I, LISA, Getis-Ord Gi*) and spatial regression analysis.

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Contact Us

Reach out for inquiries about our health GIS workshop.