Veterinary Epidemiology Unit, Department of Obstetrics, Reproduction, and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke, Belgium.
Microb Drug Resist. 2011 Dec;17(4):513-9. doi: 10.1089/mdr.2011.0048. Epub 2011 Aug 29.
Determining herd- or flock-specific antimicrobial resistance profiles is important to guide therapeutic use of antimicrobials and to assess risk factors for the development and spread of antimicrobial resistance. As such, it is of utmost importance to optimize the sampling strategy for the determination of herd-specific antimicrobial resistance profiles. However, the multitude of prevalences measured at the same time as well as the presence of variation both at the level of the animal and the bacterial population of concern make it impossible to use conventional sample size determination methods. In this article, the use of bootstrapping techniques for sample size determination was explored. In particular, one-stage and two-stage bootstrap samplings were used to determine the optimal number of animals and the optimal number of isolates within one animal. Results show that focus should be on the number of animals sampled rather than on the number of isolates tested within one animal.
确定畜群或禽群特有的抗菌药物耐药性特征对于指导抗菌药物的治疗使用以及评估抗菌药物耐药性的产生和传播的风险因素非常重要。因此，优化确定畜群特定抗菌药物耐药性特征的采样策略至关重要。然而，在同一时间测量的多种流行率以及动物和相关细菌种群水平上的变异使得无法使用常规的样本量确定方法。在本文中，探索了使用自举技术进行样本量确定。特别是，使用单阶段和两阶段自举抽样来确定动物的最佳数量和每个动物内的最佳分离株数量。结果表明，应重点关注采样的动物数量，而不是每个动物内测试的分离株数量。
