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模拟建模估计各种池大小对澳大利亚约翰氏病进行牛群检测的群敏感性。

Simulation modelling to estimate the herd-sensitivity of various pool sizes to test beef herds for Johne's disease in Australia.

机构信息

Faculty of Science, Sydney School of Veterinary Science, The University of Sydney, Camden, NSW, Australia.

Ausvet Pty Ltd., Canberra, Australia.

出版信息

Prev Vet Med. 2021 Apr;189:105294. doi: 10.1016/j.prevetmed.2021.105294. Epub 2021 Feb 13.

Abstract

Johne's disease is a chronic intestinal disease affecting livestock. It leads to the shedding of Mycobacterium avium subspecies paratuberculosis (MAP) in the faeces, wasting and eventually death, with animal welfare, economic, and trade implications. The Johne's Beef Assurance Scheme, used in Australia to determine the risk of Johne's disease on beef properties and facilitate trade, is based on testing a subset of the herd with pooled faecal quantitative PCR. This study aimed to model the herd-sensitivity of pooled faecal testing under different Australian farming scenarios. Animals from simulated herds were randomly sampled and allocated into their respective pools. Each tested pool was provided a test outcome, with herd-sensitivity estimated as the probability of detecting a truly infected herd. The models simulated the test performance for the 'Sample' and 'Check' tests used in the assurance schemes (recommended sample sizes of 300 and 50, respectively) for a range of herd sizes, infection prevalence and MAP faecal shedding levels for the pool sizes of 5, 10, 15 and 20. Sensitivity and specificity input values of each pool size were obtained from a previous laboratory investigation. The herd-sensitivity estimate increased with herd size and infection prevalence levels, regardless of the pool size. Higher herd-sensitivity was also achieved for testing scenarios involving larger sample sizes. A pool size of 10 achieved similar herd-sensitivity to that of the current pool size for the majority of the Sample test and Check test scenarios. This was particularly evident when pool-specificity was assumed to be perfect. The overall herd-sensitivity of the Check test was very low for all infection prevalence levels and pool sizes, but it more than doubled, when the sample size increased from 50 to 100 animals (11% versus 26% for a herd size of 500 cattle with a 2% infection prevalence). The results show that the majority of beef producers participating in the assurance scheme can benefit from using a larger pool size for the pooled faecal quantitative PCR testing of their herd, in comparison to the pool size currently used.

摘要

约翰氏病是一种影响家畜的慢性肠道疾病。它导致分枝杆菌副结核亚种(MAP)在粪便中脱落,导致动物消瘦,最终死亡,这涉及动物福利、经济和贸易问题。澳大利亚使用约翰氏病牛肉保障计划来确定牛肉场感染约翰氏病的风险,并促进贸易,该计划基于对畜群的一部分进行粪便定量聚合酶链反应(PCR)检测。本研究旨在针对不同的澳大利亚养殖情景,建立粪便混合检测的畜群敏感性模型。从模拟畜群中随机抽样并将动物分配到各自的畜群中。每个检测畜群都提供了一个检测结果,将畜群敏感性估计为检测真正感染畜群的概率。该模型模拟了“样本”和“检查”检测(建议的样本量分别为 300 和 50)在保障计划中的检测性能,涵盖了一系列畜群规模、感染流行率和 MAP 粪便脱落水平,以及畜群规模为 5、10、15 和 20 的畜群。每种畜群大小的敏感性和特异性输入值均从之前的实验室研究中获得。无论畜群规模大小,畜群敏感性估计都随畜群规模和感染流行率的增加而增加。更大的样本量也能提高检测的敏感性。对于大多数样本检测和检查检测情景,10 头畜群的畜群敏感性与当前畜群规模的畜群敏感性相似。当假设畜群特异性为完美时,这一点尤为明显。对于所有的感染流行率和畜群规模,检查检测的总体畜群敏感性都非常低,但当样本量从 50 增加到 100 时,它增加了一倍多(对于 500 头牛的畜群,感染流行率为 2%,敏感性从 11%增加到 26%)。结果表明,与当前使用的畜群相比,大多数参加保障计划的牛肉生产者可以从使用更大的畜群规模进行畜群的粪便定量 PCR 混合检测中受益。

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