Enhancing Public Health Planning through Geospatial Technologies: GEE & Colab for Immunization Access Analysis

This 5-day training is tailored for public health students, NGO Workers and other stackholders in Nigeria or beyond to develop essential geospatial skills.
Participants will learn to use Google Earth Engine and Google Colab for spatial analysis and health mapping.
The course addresses critical challenges like poor accessibility, vaccination gaps, and uneven health facility distribution in Nigeria.
Hands-on exercises will focus on practical use cases in the Nigerian context.
The training aims to build capacity for evidence-based planning and digital health innovation in underserved regions.

Promotes data-driven decision making in public health planning and resource allocation.
Helps address disparities in access to health services, particularly in remote and underserved areas of Nigeria.
Enables monitoring and evaluation of immunization campaigns through spatial data analysis.
Builds local capacity in geospatial technologies for long-term public health resilience.
Supports the integration of digital tools in Nigeria’s health systems for sustainable development goals (SDGs).

Training Schedule

Session 1 (9:00–10:30): Overview of Google Earth Engine Interface and account setup
Session 2 (11:00–1:00): Importing health and population datasets
Session 3 (2:00–4:00): Visualizing data layers on the map

Session 1 (9:00–10:30): Concept of distance-based accessibility in public health
Session 2 (11:00–1:00): Creating 5km buffer zones around health centers
Session 3 (2:00–4:00): Identifying underserved areas for immunization

Session 1 (9:00–10:30): Introduction to Python and Colab for beginners
Session 2 (11:00–1:00): Loading and exploring immunization datasets
Session 3 (2:00–4:00): Performing basic statistical analysis and plotting coverage maps