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Evaluation of an alternative method of herd classification for infection with paratuberculosis in cattle herds in the United States

机译:在美国评估牛群副结核感染的另一种牛群分类方法

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Objective-To develop a better system for classification of herd infection status for paretuberculosis (Johne's disease [JD]) in US cattle herds on the basis of the risk of potential transmission of Mycobacterium avium subsp paratuberculosis. Sample-Simulated data for herd size and within-herd prevalence; sensitivity and specificity for test methods obtained from consensus-based estimates. Procedures-Interrelationships among variables influencing interpretation and classification of herd infection status for JD were evaluated by use of simulated data for various herd sizes, true within-herd prevalences, and sampling and testing methods. The probability of finding >= 1 infected animal in herds was estimated for various testing methods and sample sizes by use of hypergeometric random sampling. Results-2 main components were required for the new herd JD classification system: the probability of detection of infection determined on the basis of test results from a sample of animals and the maximum detected number of animals with positive test results. Tables were constructed of the estimated probability of detection of infection, and the maximum number of cattle with positive test results or fecal pools with positive culture results with 95% confidence for classification of herd JD infection status were plotted. Herd risk for JD was categorized on the basis of 95% confidence that the true within-herd prevalence was <= 15%, <= 10%, <= 5 5%, or <= 2%. Conclusions and Clinical Relevance-Analysis of the findings indicated that a scientifically rigorous and transparent herd classification system for JD in cattle is feasible. (Am J Vet Res 2012;73:248-256)
机译:目的-基于鸟分枝杆菌副结核亚型可能传播的风险,开发一种更好的分类美国牛群中肺结核(约翰德病[JD])的牛群感染状况的系统。样本模拟数据,以了解种群规模和种群内流行率;从基于共识的估计中获得的测试方法的敏感性和特异性。通过使用各种牛群大小,真实牛群内流行率以及抽样和测试方法的模拟数据,评估了影响JD牛群感染状态的解释和分类的变量之间的相互关系。通过使用超几何随机抽样,对于各种测试方法和样本量,估计了在畜群中发现≥1种受感染动物的可能性。结果2-新畜群JD分类系统的主要组成部分是必需的:检测感染的可能性是基于动物样品的检测结果确定的,检测结果呈阳性的最大动物数是确定的。建立了估计感染检测概率的表,并绘制了测试结果呈阳性的牛的最大数量或培养结果呈阳性的粪便池的最大数量,对牛群JD感染状况的分类有95%的可信度。根据95%的置信度将JD的牛群风险分类为真实的牛群内患病率<= 15%,<= 10%,<= 5 5%或<= 2%。结论和临床相关性分析表明,科学,严格,透明的牛JD牛群分类系统是可行的。 (Am J Vet Res 2012; 73:248-256)

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