Introduction

Geographic Information Systems (GIS) and spatial epidemiology are transforming how public health professionals analyze, visualize, and respond to disease outbreaks. Disease Mapping & GIS Training Course equips learners with advanced skills in spatial data analysis, health informatics, geospatial intelligence, and epidemic surveillance systems. Participants will learn how to integrate real-time disease tracking, spatial statistics, and digital cartography to support evidence-based public health decision-making and outbreak response strategies.

In today’s data-driven world, mastering GIS-based disease mapping, remote sensing for health, spatial epidemiology modeling, and geospatial AI analytics is essential for tackling emerging infectious diseases and chronic health burdens. This course blends theory with hands-on applications using modern GIS platforms, enabling professionals to create interactive disease maps, predictive risk models, and health surveillance dashboards for effective public health interventions.

Programme Curriculum

Disease Mapping & GIS Training Course

Introduction

Course Duration

10 days

Course Objectives

Master Geospatial Data Analytics for Public Health
Apply Disease Surveillance and Outbreak Mapping Techniques
Develop skills in Spatial Epidemiology and Cluster Detection
Use Remote Sensing for Disease Risk Assessment
Build Interactive GIS Health Dashboards
Conduct Hotspot Analysis for Infectious Diseases
Implement GeoAI and Predictive Health Modeling
Integrate Health Data with Spatial Databases
Perform Spatial-Temporal Disease Trend Analysis
Design Public Health Early Warning Systems
Utilize Open-Source GIS Tools (QGIS, ArcGIS)
Enhance Data Visualization for Epidemiological Reporting
Support Evidence-Based Health Policy Using GIS Insights

Target Audience

Public Health Officers & Epidemiologists
GIS Analysts and Geospatial Scientists
Medical Researchers & Health Informatics Specialists
NGO & Humanitarian Health Workers
Government Health Policy Planners
Environmental Health Specialists
Data Scientists in Healthcare Sector
University Students in Public Health, Geography & Data Science

Course Modules

Module 1: Introduction to GIS in Public Health

GIS fundamentals and spatial thinking
Health geography concepts
Mapping disease distribution patterns
Data layers in epidemiology
GIS workflow overview
Case Study: Malaria prevalence mapping in Sub-Saharan Africa

Module 2: Spatial Epidemiology Basics

Disease distribution analysis
Population health mapping
Spatial autocorrelation
Risk factor mapping
Epidemiological indicators
Case Study: Dengue fever clustering in urban areas

Module 3: Geospatial Data Collection

GPS and mobile data collection
Health survey integration
Remote sensing data sources
Open data platforms
Field data validation
Case Study: Cholera outbreak field data collection

Module 4: Disease Surveillance Systems

Real-time health monitoring
Outbreak detection systems
Reporting frameworks
Alert systems design
Digital surveillance tools
Case Study: COVID-19 global tracking dashboards

Module 5: Spatial Data Management

Geodatabases design
Data cleaning techniques
Data standardization
Health dataset integration
Cloud-based GIS storage
Case Study: National disease registry system

Module 6: Hotspot and Cluster Analysis

Spatial clustering techniques
Kernel density mapping
Hotspot identification
Pattern recognition
Statistical GIS tools
Case Study: HIV hotspot mapping in urban settlements

Module 7: Remote Sensing in Disease Mapping

Satellite imagery analysis
Environmental risk factors
Land use and disease correlation
Climate impact on health
Raster data interpretation
Case Study: Malaria breeding site prediction

Module 8: GIS Software Applications

ArcGIS tools overview
QGIS practical workflows
Google Earth Engine basics
Plugin utilization
Spatial analysis functions
Case Study: Hospital accessibility mapping

Module 9: Spatial-Temporal Analysis

Time-series disease mapping
Trend visualization
Seasonal outbreak patterns
Animation mapping tools
Predictive timelines
Case Study: Ebola outbreak progression mapping

Module 10: Health Data Visualization

Dashboard design principles
Interactive maps
Infographics for health data
Story maps creation
Reporting tools
Case Study: National immunization coverage dashboard

Module 11: Predictive Disease Modeling

Machine learning in GIS
Risk forecasting models
Spatial regression analysis
AI-based outbreak prediction
Model validation
Case Study: COVID-19 spread prediction model

Module 12: Public Health Decision Support Systems

GIS for policy planning
Resource allocation mapping
Emergency response planning
Health equity analysis
Decision dashboards
Case Study: Vaccine distribution optimization

Module 13: Environmental Health GIS

Pollution and health links
Waterborne disease mapping
Climate change impacts
Urban health risks
Environmental monitoring
Case Study: Air pollution-related respiratory disease mapping

Module 14: Mobile GIS & Field Applications

Mobile data collection apps
Field mapping tools
Real-time syncing
Offline GIS usage
Crowd-sourced health data
Case Study: Community health reporting system

Module 15: Capstone Project – Disease Mapping System

End-to-end GIS project design
Data integration and analysis
Dashboard development
Predictive mapping
Presentation of findings
Case Study: National infectious disease surveillance platform

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

GIS mapping Spatial analysis Disease tracking Data visualization

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000