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What You'll Learn

Strengthen your epidemiology expertise. This course provides the skills to use GIS for spatial analysis and informing public health policy.
Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Geographic Information Systems (GIS) for Public Health and Epidemiology - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

Geographic Information Systems (GIS) are powerful tools for analyzing, visualizing, and managing health-related data. In public health and epidemiology, GIS helps professionals identify disease patterns, track outbreaks, map health service accessibility, and support evidence-based decision-making.

This training provides participants with both the conceptual understanding and practical skills to apply GIS in health research, planning, and disease surveillance. Through a blend of hands-on exercises, case studies, and real-world applications, participants will learn how to collect spatial data, build maps, analyze spatial relationships, and use GIS to design interventions that improve health outcomes.

Duration 

10 Days

Who Should Attend

  • Public health professionals and epidemiologists

  • Health program managers and planners

  • Researchers and data analysts in health and development sectors

  • Monitoring and evaluation (M&E) specialists

  • Policy makers and government health officers

  • NGOs and international organizations working on health projects

Course Impact

Organizational Impact

  • Stronger capacity to track, monitor, and respond to disease outbreaks

  • Improved planning and allocation of health resources and services

  • Enhanced ability to demonstrate impact through spatial data visualization

  • Evidence-based decision-making in health policy and programming

Individual Impact

  • Practical skills in GIS tools for public health and epidemiology

  • Improved ability to interpret spatial data for health planning

  • Stronger analytical capacity in disease mapping and outbreak response

  • Increased professional competitiveness in health and development fields

Course Objectives

By the end of the training, participants will be able to:

  • Understand the role of GIS in public health and epidemiology.

  • Collect, manage, and analyze spatial health data.

  • Create maps to visualize disease distribution and health services.

  • Apply spatial analysis to track outbreaks and assess risk factors.

  • Integrate GIS into health program planning, monitoring, and evaluation.

  • Communicate findings effectively through spatial reports and dashboards.

Course Outline

Module 1: Introduction to GIS and Public Health

  • Key GIS concepts and applications in health

  • The role of spatial thinking in epidemiology

  • Case Study: WHO’s use of GIS in mapping malaria prevalence in Sub-Saharan Africa

Module 2: Fundamentals of Spatial Data

  • Types and sources of spatial data (raster, vector, GPS, surveys)

  • Coordinate systems and projections

  • Collecting and cleaning health-related spatial data

  • Case Study: Using satellite imagery to track environmental risk factors for dengue

Module 3: GIS Software Tools and Basics

  • Overview of ArcGIS, QGIS, and open-source tools

  • Importing and managing health data

  • Practical exercise: Creating a base map of health facilities

Module 4: Mapping and Visualization Techniques

  • Principles of effective health map design

  • Symbolization, labeling, and thematic mapping

  • Practical exercise: Mapping child immunization coverage

  • Case Study: Polio eradication campaigns supported by GIS mapping in Nigeria

Module 5: Spatial Analysis for Epidemiology

  • Disease hotspot and cluster detection

  • Proximity analysis for health services

  • Case Study: Cholera outbreak mapping and containment in Haiti

  • Exercise: Identifying clusters in a simulated outbreak dataset

Module 6: GIS in Disease Surveillance and Outbreak Response

  • Linking GIS with surveillance systems

  • Real-time disease mapping and dashboards

  • Case Study: GIS role in the COVID-19 Johns Hopkins global dashboard

  • Exercise: Mapping an epidemic curve spatially

Module 7: Health Services Accessibility and Resource Allocation

  • Mapping service coverage and underserved areas

  • Travel time analysis for accessing care

  • Case Study: Ebola treatment center placement in Sierra Leone and Liberia

  • Simulation: Allocating resources during a regional outbreak

Module 8: Integrating GIS with Public Health Data Systems

  • Combining GIS with survey and census data

  • Linking GIS with monitoring and evaluation frameworks

  • Exercise: Building an integrated health indicator map

  • Case Study: UNICEF’s use of GIS to monitor maternal and child health in East Africa

Module 9: Communicating Results with GIS

  • Turning maps into actionable information for decision-makers

  • Dashboards, reports, and advocacy tools

  • Group exercise: Preparing a GIS-based policy brief

  • Case Study: Using GIS maps for HIV/AIDS program advocacy in South Africa

Module 10: Capstone Project and Action Planning

  • Participants design a GIS-based health project from data collection to reporting

  • Presentations of projects with peer and facilitator feedback

  • Developing individual action plans for applying GIS in participants’ organizations

  • Case Study: Integrating GIS into a malaria elimination strategy in Zanzibar

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

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  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

To provide you with the essential skills to use GIS to visualize, analyze, and map health data, enabling you to better understand and respond to public health challenges.
You will master spatial analysis, disease mapping, and hot spot analysis to identify disease patterns and predict outbreaks with greater precision.
It teaches a systematic and evidence-based approach to data analysis, ensuring your findings are credible and reflect a high level of professionalism.
By using GIS for predictive modeling and data visualization, you can find new insights and drive strategic innovation in your public health interventions.
By mapping health data, you can better understand the health challenges faced by different communities, enabling you to design more targeted and empathetic interventions.
Training on Geographic Information Systems (GIS) for Public Health and Epidemiology

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