
Explore Tobler's first law of geography and its implications for visualizing health data in public health, and see how John Snow mapped wells and cholera deaths to reveal spatial patterns.
Analyze spatial data collection techniques and formats in a GIS workflow. Learn about data quality, metadata, field types, and common import/export formats like shapefile, CSV, GeoPackage, and GeoJSON.
Master data manipulation in GIS by using attribute and spatial queries, linking alphanumeric data with geometry, and mapping where features occur via relationships like intersect, within distance, and containment.
Explore how GIS enables public health decisions by mapping supply, demand, access, and utilization; apply Geo Health concepts and build a multi-level data framework with geocoded facilities and health outcomes.
Explore geographic and projected coordinate systems, datums, and map projections in GIS for public health, and how conversions to flat maps cause shape, area, and distance distortions.
Explore how spatial and attribute joins link external data to GIS layers using a common primary key. Learn one-to-one, one-to-many, and many-to-one links, and why exporting the join permanently matters.
Explore how data aggregation and point level data shape health insights, compare absolute versus rate-based measures, and weigh privacy, spatial resolution, and the pros and cons of aggregated maps.
Explore data visualisation in health mapping by applying charts, deviations, rankings, and distributions, and learn to use time and space-time animation to reveal patterns and support decision making.
Design balanced, legible map layouts by arranging map frames, marginal information, legends, scales, north arrows, and titles to clearly tell health stories.
Explore how to export maps from QGIS as pdf or images, create map books and atlases, and publish web GIS with QGIS2Web using Leaflet or OpenLayers for accessible, shareable maps.
Explore how network analysis and accessibility assess health facility access, focusing on service areas and origin-destination matrices to model routes, 15-minute buffers, and isochrones.
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'Introduction to Geographic Information Systems for Public Health - an open-source approach' is a self-paced online course packed with contents that will fast-track your learning journey in the GIS and public health domain.
This introductory GIS and Health course will help you understand spatial techniques used in GIS and Health and some core theory, concepts and background so that you can use GIS successfully. We created this course in response to the increasing need for health professionals to incorporate location intelligence in their day-to-day decisions and the growing availability of open-source GIS tools and datasets.
This is how the course is going to help you:
You'll be in a better position to meet your daily decision-making needs at work
You'll be inspired to start research in this subject
You'll diversify and enhance your skillset (either in GIS, Health, or both)
You'll be able to apply the learnings to your work/studies right after.
You will learn both theoretical concepts and practical skills in GIS at the intersection of the Public Health context.
This course is composed of 17 video lectures and 15 tutorials. QGIS will be used in the tutorials, which is a free, open-source application available for Windows, MacOS and Linux.
There are no assessments in this course, at least not in the traditional sense of it! The best way for you self-evaluate is by following the tutorials.
Social learning plays a vital role in getting the most out of this journey, so you might also like to join in on conversations using @OriGudes, #gisforpublichealth and #GeoHealth on social media.