Bonilla-Aldana, D.K.; Jiménez-Diaz, S.D.; Losada, C.; Silva-Cajaleon, K.; Rodriguez-Morales, A.J. Mapping of Bovine Tuberculosis in Colombia, 2001-2019. Preprints2024, 2024030180. https://doi.org/10.20944/preprints202403.0180.v1
APA Style
Bonilla-Aldana, D.K., Jiménez-Diaz, S.D., Losada, C., Silva-Cajaleon, K., & Rodriguez-Morales, A.J. (2024). Mapping of Bovine Tuberculosis in Colombia, 2001-2019. Preprints. https://doi.org/10.20944/preprints202403.0180.v1
Chicago/Turabian Style
Bonilla-Aldana, D.K., Kenneth Silva-Cajaleon and Alfonso J. Rodriguez-Morales. 2024 "Mapping of Bovine Tuberculosis in Colombia, 2001-2019" Preprints. https://doi.org/10.20944/preprints202403.0180.v1
Abstract
Introduction: Bovine tuberculosis is a zoonotic disease of considerable impact, especially in livestock countries, which can cause human disease. Despite its importance, Colombia is a country in which few studies analyse its behaviour, and none develop maps using geographic information systems to characterise it. Objective: To describe the temporal-spatial distribution of bovine tuberculosis in Colombia between 2001 and 2019. Methods: Retrospective cross-sectional descriptive study, based on reports by the Colombian Agricultural Institute, of tuberculosis surveillance in cattle on farms in Colombia from 2001 to 2019. The data were converted into databases in Microsoft Access 365®, and multiple epidemiological maps were generated with the Kosmo RC1®3.0 software coupled to shape files of all the country's departments. Results: During the study period, 5,273 tuberculosis cases in bovines were identified in the different departments of Colombia (mean 278 cases/year). Regarding its temporal distribution, the number of cases varied from a maximum of 903 cases (17.12% of the total) in 2015 to a minimum of 0 between 2001 and 2004 and between 2017 and 2019 (between 2005 and 2016, the minimum was 46 cases, 0.87%). Conclusions: GIS is an essential tool for understanding the temporospatial behaviour of zoonotic diseases in Colombia, as is the case of bovine tuberculosis, with its potential implications for Human and One Health.
Keywords
tuberculosis; infection; cattle; GIS; geographic information systems; Mycobacterium bovis; One Health
Subject
Biology and Life Sciences, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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