Fecha/hora: 06/06/2024 07:37:30

Biblioteca(s): 	INIA Tacuarembó.	
Fecha corriente: 	22/04/2019	
Fecha de la última actualización: 	22/04/2019	
Autoria: 	MIRABALLES, C.; RIET-CORREA, F.; SAPORITI, T.; LARA, S.; PARODI, P.; SÁNCHEZ, J.	
Afiliación: 	MÓNICA CECILIA MIRABALLES FERRER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; TATIANA SAPORITI NOGUEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Universidad de la República (UdelaR)/ Facultad de Veterinaria.; STEPHANIE YOHANA LARA MARFETAN, Universidad de la República (UdelaR)/ Facultad de Veterinaria.; PABLO PARODI TEXEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Universidad de la República (UdelaR)/ Facultad de Veterinaria.; JAVIER SÁNCHEZ, University of Prince Edwards Island, Canada.	
Título: 	Probability of Rhipicephalus microplus introduction into farms by cattle movement using a Bayesian Belief Network.	
Año de publicación: 	2019	
Fuente/Imprenta: 	Ticks and Tick-borne Diseases, 2019.	
DOI: 	10.1016/j.ttbdis.2019.04.009	
Idioma: 	Inglés	
Notas: 	History Article: Received 1 October2018 // Received in revisedform 19March 2019 // Accepted 10April 2019.	
Contenido: 	Attempts to eliminate Rhipicephalus microplus from Uruguay have been unsuccessful, and, currently, the country is divided into two areas: a tick-free area and a tick-infested area. In the tick-infested area, different farms face different situations. Some farms are in regions where, due to environmental conditions or a lack of infrastructure, it is difficult to eliminate R. microplus, and the only option is to control it. In contrast, other farms can attempt complete removal. Before deciding whether a farmer should attempt to eliminate R. microplus, the probability of reintroduction must be evaluated. The objective of this study was to develop a probabilistic model
based on a Bayesian Belief Network (BBN) to assess the likelihood of a farm becoming infested with R. microplus via the introduction of tick-infested cattle. Only the tick-infested area was considered in the development of this model. Nine variables related to environmental conditions and biosecurity measures, with a focus on cattle
movement, were considered. Three different sources of data were used to populate the BBN model: data from the literature; a representative national survey from 2016; and a survey developed to identify biosecurity practices on farms. Model sensitivity and specificity were assessed, and an overall accuracy of 92% was obtained. The
model was applied to 33 farms located in the tick-infested area. For one farm, the probability of introduction of R. microplus was 1%; for three farms, the probability was between 21% and 34%; for seven farms, it was between 66% and 76%; and for 22 farms, the probability was greater than 83%. This model was useful for estimating the
probability of the introduction of R. microplus into farms, making it possible to assess the impact that the evaluated biosecurity measures have on the probability of introduction and, thus, guiding more objective decision making about the control or elimination of R. microplus from farms.	
Palabras-Clave: 	BAYESIAN BELIEF NETWORK; CATTLE TICK ELIMINATI; RHIPICEPHALUS MICROPLUS; RISK ASSESSMENT.	
Thesagro: 	PLAGAS DE ANIMALES.	
Categoría del tema: 	L72 Plagas de los animales	
Registro original: 	INIA Tacuarembó (TBO)	
Ejemplares: 	TBO - (102935-1) - PXI - AP - DD -  -  -  - DIS