https://doi.org/10.4081/gh.2024.1245
Spatial-temporal risk factors in the occurrence of rabies in Mexico
Submitted: 17 October 2023
Accepted: 21 December 2023
Published: 30 January 2024
Accepted: 21 December 2023
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Rabies is a zoonotic disease that affects livestock worldwide. The distribution of rabies is highly correlated with the distribution of the vampire bat Desmodus rotundus, the main vector of the disease. In this study, climatic, topographic, livestock population, vampire distribution and urban and rural zones were used to estimate the risk for presentation of cases of rabies in Mexico by co- Kriging interpolation. The highest risk for the presentation of cases is in the endemic areas of the disease, i.e. the States of Yucatán, Chiapas, Campeche, Quintana Roo, Tabasco, Veracruz, San Luis Potosí, Nayarit and Baja California Sur. A transition zone for cases was identified across northern Mexico, involving the States of Sonora, Sinaloa, Chihuahua, and Durango. The variables topography, vampire distribution, bovine population and rural zones are the most important to explain the risk of cases in livestock. This study provides robust estimates of risk and spread of rabies based on geostatistical methods. The information presented should be useful for authorities responsible of public and animal health when they plan and establish strategies preventing the spread of rabies into rabies-free regions of México.
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How to Cite
Ortega-Sánchez, R. ., Bárcenas-Reyes, I., Luna-Cozar, J. ., Rojas-Anaya, E. ., Cuador-Gil, J. Q. ., Cantó-Alarcón, G. J. ., Veyna-Salazar, N. ., González-Ruiz, S. ., & Milián-Suazo, F. . (2024). Spatial-temporal risk factors in the occurrence of rabies in Mexico. Geospatial Health, 19(1). https://doi.org/10.4081/gh.2024.1245
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