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

Authors: Antonio Contreras,Víctor Cuevas,Jorge Rivera-Gomis,Antonio Sánchez,Pelayo Acevedo,Joaquin Vicente
Journal: Frontiers in Veterinary Science
Publisher: Frontiers Media SA
Publish date: 2025-7-9
ISSN: 2297-1769 DOI: 10.3389/fvets.2025.1612524
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The map series in Figure 2 shows oral vaccination campaigns only up to 2014–2015, despite the paper being published in 2025 and the European Rabies Bulletin containing data through 2024. This is a serious temporal disconnect. How can students draw meaningful conclusions about current rabies control strategies when the educational material is based on outdated spatial data? 

The authors state that original TB farm coordinates were randomly adjusted within a radius of up to 10 km to protect confidentiality, and a completely randomized distribution (“random”) was used for the published dataset. With spatial error up to 10 km, any clustering analysis, heatmap, or proximity to wildlife layers becomes meaningless. How can students learn to identify disease hotspots, wildlife-livestock interfaces, or risk factors when the fundamental geographic truth has been intentionally corrupted? 

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