# Integrating geographic information systems into veterinary education within the one health framework: an interdisciplinary approach

## TL;DR

This paper introduces a new way to teach GIS in veterinary education to better prepare students for using spatial data in animal and public health.

## Contribution

A scalable, interdisciplinary GIS training model for veterinary students using open-access tools and real-world data.

## Key findings

- A stepwise GIS educational pathway was developed using open-access tools and real/simulated epidemiological data.
- The approach supports remote learning and enhances spatial reasoning and interdisciplinary collaboration.
- The model is accessible to beginners and can be adapted for different levels of GIS proficiency.

## Abstract

Geographic Information Systems (GIS) have become essential tools in animal and public health, particularly within the One Health framework. Despite their relevance in health and environmental science programs, GIS training is not yet fully integrated into veterinary curricula. This gap limits the ability of veterinary students to effectively utilize spatial data in their future professional practice.

To address this educational shortfall, we implemented a teaching innovation project at the University of Murcia, aimed at incorporating GIS training into veterinary education. Using open-access tools, we designed a series of tutorials, manuals, and exercises with graduated levels of complexity. These resources were based on real and simulated epidemiological datasets and focused on topics relevant to animal and public health. The tools employed included online GIS platforms such as the European Rabies Bulletin (ERB), free desktop applications like Epi Map from Epi Info 7 and QGIS, as well as ArcGIS Online, including its story map functionalities.

The educational pathway developed introduces GIS through a stepwise progression: (1) use of the ERB to explore official rabies data in Europe since 1977; (2) application of fictional disease data in rabbits using Epi Map and QGIS for beginners; and (3) analysis of official bovine tuberculosis sanitation campaigns in Ciudad Real (2007–2011) for more advanced users. The exercises support data visualization, geospatial analysis, and the generation of online outputs. They were designed to be accessible to users with no prior GIS experience and can be implemented remotely and asynchronously.

This approach offers a scalable and accessible model for integrating GIS into veterinary education. The ability to visualize epidemiological patterns and combine health and production data with environmental risk layers fosters student engagement and spatial reasoning. Moreover, the capacity to publish results online enhances dissemination and interdisciplinary collaboration. Future work will focus on evaluating student learning outcomes and refining the pedagogical design based on user feedback.