A Bayesian approach to study the risk variables for tuberculosis occurrence in domestic and wild ungulates in South Central Spain
Abstract
Background
Bovine tuberculosis (bTB) is a chronic infectious disease mainly caused by
Results
We used a Bayesian mixed effects multivariable logistic regression model to predict TB occurrence in either domestic or wild mammals per municipality in 2007 by using information from the previous year. The municipal TB distribution and endemicity was clustered in the western part of the region and clearly overlapped with the explanatory variables identified in the final model: (1) incident cattle farms, (2) number of years of veterinary inspection of big game hunting events, (3) prevalence in wild boar, (4) number of sampled cattle, (5) persistent bTB-infected cattle farms, (6) prevalence in red deer, (7) proportion of beef farms, and (8) farms devoted to bullfighting cattle.
Conclusions
The combination of these eight variables in the final model highlights the importance of the persistence of the infection in the hosts, surveillance efforts and some cattle management choices in the circulation of
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vctor2012abmc
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Authors | Víctor, Rodríguez-Prieto;Beatriz, Martínez-López;José, Barasona;Pelayo, Acevedo;Beatriz, Romero;Sabrina, Rodriguez-Campos;Christian, Gortázar;José, Sánchez-Vizcaíno;Joaquín, Vicente; |
Journal | BMC veterinary research |
Year | 2012 |
DOI | DOI not found |
URL | |
Keywords |
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