A practical approach to calculate sample size for herd prevalence surveys
A practical approach to calculate sample size for herd prevalence surveys
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DOI：
10.1016/j.prevetmed.2004.07.003
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发表时间：
2004-10-14
影响因子：
2.6
通讯作者：
Gunn, GJ
中科院分区：
文献类型：
--
作者：
Humphry, RW;Cameron, A;Gunn, GJ
在设计使用不完善的诊断测试的群体水平患病率研究时，有必要考虑测试的敏感性和特异性。开发了一种新方法来考虑测试的缺陷。我们提出了一个经过调整的公式，当与现有的软件结合使用时，可以改进规划。牛副结核病被列为感染示例，因为它最初刺激了这项工作。提供了与实现高畜群水平敏感性和特异性相关的利益（畜群数量少）和劣势（每畜群动物数量较多且排除小畜群）之间的权衡示例。我们证明了如果我们不考虑测试敏感性和特异性，就会出现患病率估计的偏差和置信范围的低估。 (C) 2004 Elsevier B.V. 保留所有权利。
When designing a herd-level prevalence study that will use an imperfect diagnostic test, it is necessary to consider the test sensitivity and specificity. A new approach was developed to take into account the imperfections of the test. We present an adapted formula that, when combined with an existing piece of software, allows improved planning. Bovine paratuberculosis is included as an example infection because it originally stimulated the work. Examples are provided of the trade-off between the benefit (low number of herds) and the disadvantage (large number of animals per herd and exclusion of small herds) that are associated with achieving high herd-level sensitivity and specificity. We demonstrate the bias in the estimate of prevalence and the underestimate of the confidence range that would arise if we did not account for test sensitivity and specificity. (C) 2004 Elsevier B.V. All rights reserved.