This training course will equip participants with the necessary skills and knowledge on how to report, analyze, and disseminate data for all health programs.
| Course Title | GIS Mapping and Spatial Analysis for Health Sector Programmes Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | TBA |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Course Overview:
This course offered at T4D is designed to equip professionals in the health sector with the skills to apply Geographic Information Systems (GIS) and spatial analysis for improving health programme management, disease surveillance, and resource allocation. Participants will learn to leverage GIS mapping and spatial data to support decision-making, enhance public health strategies, and address critical health issues like disease outbreaks, healthcare access, and health risk assessment.
Course Duration:
5 days
Target Audience:
This course is ideal for professionals in public health, healthcare management, epidemiology, and related fields, including:
Public Health Officials
Healthcare Programme Managers
Epidemiologists
GIS Analysts in Health Sector
Health Planners and Policy Makers
Non-Governmental Organizations (NGOs) working in health
International Health Agencies and Health NGOs
Personal Impact:
Gain hands-on experience with GIS software (ArcGIS, QGIS) to improve decision-making in health programmes.
Learn how to use spatial data to assess healthcare access, disease trends, and environmental health risks.
Acquire practical skills in mapping health data, disease outbreaks, and health infrastructure.
Understand how to analyze spatial data for resource allocation and emergency response.
Improve your ability to communicate spatial health data to stakeholders, enhancing policy development.
Increase your professional marketability by acquiring specialized GIS skills for the public health sector.
Enhance your capacity to contribute to evidence-based health strategies and interventions.
Organizational Impact:
Enable the integration of GIS tools into public health programmes for better planning and decision-making.
Support the development of more targeted and effective health interventions based on spatial analysis.
Improve resource management through efficient analysis of healthcare coverage, service gaps, and infrastructure.
Enhance the organization's ability to track, predict, and respond to disease outbreaks using GIS tools.
Foster a data-driven approach to policy development, enabling proactive health management strategies.
Strengthen partnerships and collaboration with stakeholders by providing spatially visualized health data.
Build organizational capacity for using GIS in health risk assessments and emergency planning.
Course Objectives:
By the end of the course, participants will be able to:
Understand the principles and applications of GIS mapping and spatial analysis in public health.
Apply GIS tools to analyze and visualize health data, such as disease distribution, healthcare access, and demographic factors.
Use spatial analysis to identify health risks and optimize resource allocation for health programmes.
Develop health-focused GIS maps for decision support, disease surveillance, and planning.
Utilize GIS for emergency health response, including mapping vulnerable populations and health infrastructure.
Course Outline:
Module 1: Introduction to GIS in Public Health and Health Sector Programmes
Overview of GIS and its applications in the health sector
Key GIS concepts: spatial data, layers, georeferencing, and coordinate systems
Introduction to GIS software (ArcGIS, QGIS) and their functionalities in health applications
Data types in GIS: Raster vs. Vector, and their relevance in health analysis
Case Study: Using GIS to map and analyze the distribution of malaria in Sub-Saharan Africa
Module 2: Mapping Health Data and Disease Surveillance with GIS
Collecting, processing, and visualizing health data in GIS
Integrating disease surveillance data (e.g., cases of infectious diseases) into GIS platforms
Creating heatmaps and disease distribution maps for visual analysis
Hands-on exercise: Mapping the spread of an infectious disease (e.g., Zika virus or COVID-19)
Case Study: GIS-based surveillance of Ebola outbreaks in West Africa
Module 3: Spatial Analysis for Healthcare Access and Resource Allocation
Analyzing healthcare access using spatial analysis (distance to health facilities, service coverage)
Identifying service gaps and areas with limited access to healthcare resources
Optimizing resource allocation using spatial tools (e.g., network analysis, proximity analysis)
Hands-on exercise: Analyzing accessibility to health services in rural areas using GIS
Case Study: Optimizing the distribution of vaccines in low-resource settings using GIS
Module 4: GIS for Health Risk Assessment and Environmental Health
Integrating environmental factors (air quality, water contamination) with health data
Conducting spatial analysis for health risk assessment (e.g., air pollution and respiratory diseases)
Using GIS to model environmental health risks and vulnerable populations
Hands-on exercise: Mapping air quality and health risks in urban settings
Case Study: Using GIS to monitor and map the impacts of waterborne diseases in South Asia
Module 5: GIS for Health Emergency Response and Planning
Using GIS to support disaster response and public health emergencies (e.g., disease outbreaks, natural disasters)
Identifying and mapping vulnerable populations and health infrastructure for emergency preparedness
Modeling emergency response scenarios and optimizing healthcare distribution during crises
Hands-on exercise: Developing an emergency response plan using GIS
Case Study: GIS-based emergency response to the 2010 Haiti earthquake and the cholera outbreak
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Participants will receive a Tech For Development Certificate of Course Completion.
Held at the Tech For Development Training Centre.
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Customised training available.
Send proof of payment to letstalk@techfordevelopment.com.