Epidemiological situation of bovine tuberculosis in the State of Mato Grosso, Brazil

• Autor(a) principal: Néspoli, João Marcelo Brandini
• Data de Publicação: 2016
• Outros Autores: Negreiros, Rísia Lopes, Amaku, Marcos, Dias, Ricardo Augusto, Ferreira, Fernando, Telles, Evelise Oliveira, Heinemann, Marcos Bryan, Grisi-Filho, José Henrique Hildebrand, Gonçalves, Vitor Salvador Picão, Ferreira Neto, José Soares
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Semina. Ciências Agrárias (Online)
• Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/27266
• topic: Brazil; Bovine tuberculosis; Mato Grosso; Prevalence; Risk factors.; Brasil; Fatores de risco; Mato Grosso; Prevalência; Tuberculose bovina.

In 2009, the epidemiological situation of bovine tuberculosis was studied in the state of Mato Grosso, which is a traditional beef exporter. The state was divided into four regions. In each region, properties were selected randomly. A predetermined random number of animals were chosen from these properties, and comparative cervical tuberculin tests were conducted. In total, 28,878 animals from 1,133 properties underwent examination. The animals with inconclusive results were reexamined with the same diagnostic procedure in a minimal interval of 60 days. In each sampled property, a questionnaire-based survey was conducted to identify possible risk factors for the disease. In the state, the prevalence of infected herds and animals was 1.3% [0.7; 2.4] and 0.12% [0.03; 0.44], respectively. Further, the prevalence of infected herds and animals were 0.0% [0.0; 2.0] and 0.0% [0.0; 0.08] in the Pantanal region, 1.3% [0.5; 3.1] and 0.04% [0.01; 0.17] in the dairy region, 0.7% [0.2; 2.7] and 0.01% [0.003; 0.04] in the fattening region, and 1.7% [0.7; 4.1] and 0.24% [0.06; 0.90] in the breeding region, respectively. It was observed that the condition of the herds infected with bovine tuberculosis was associated with milk production, European or mestizo breeds, degree of sophistication in the production mode, and herd size of up to 486 animals. Therefore, the implementation of a monitoring system for detection and elimination of the residual infected herds along with incorporation of risk-based monitoring elements is the best strategy for the state.