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在暴发调查期间,逐步减少基于人群的病例对照研究。

Moving Away from Population-Based Case-Control Studies during Outbreak Investigations.

机构信息

1 Colorado Department of Public Health and Environment, 4300 Cherry Creek Drive South, Denver, Colorado 80246.

2 Oregon Health Authority, 800 N.E. Oregon Street, Portland, Oregon 97232.

出版信息

J Food Prot. 2019 Aug;82(8):1412-1416. doi: 10.4315/0362-028X.JFP-19-077.

Abstract

Population-based case-control studies are a time- and labor-intensive component of foodborne outbreak investigations. One alternative is a binomial trial that asks the question "if the likelihood of each case's having eaten a given food is no different from that of the average person in the population, how often would we find, by chance alone, that of (or more) cases would have eaten this food?" Calculating a binomial trial requires background exposure data. We conducted case-control studies and binomial trials in two foodborne outbreaks and compared results. In both outbreaks, using binomial trials we found much less than a 5% probability that the number of cases eating the suspected food vehicle would have occurred by chance. These results were comparable with results of the case-control studies, but with considerably less effort. When background exposure data are available, binomial trials are an efficient way to explore hypotheses that can be further tested by traceback efforts to identify a common source.

摘要

基于人群的病例对照研究是食源性疾病暴发调查中耗时耗力的组成部分。一种替代方法是二项式试验,它提出了这样的问题:“如果每个病例食用某种给定食物的可能性与人群中平均人的可能性没有不同,那么我们仅凭偶然机会就会发现有 (或更多)例病例会食用这种食物的频率是多少?”计算二项式试验需要背景暴露数据。我们在两次食源性暴发中进行了病例对照研究和二项式试验,并比较了结果。在两次暴发中,使用二项式试验,我们发现食用可疑食物载体的病例数发生的可能性小于 5%。这些结果与病例对照研究的结果相当,但工作量要小得多。当有背景暴露数据时,二项式试验是一种有效的方法,可以用来探索可以通过追溯努力确定共同来源来进一步检验的假设。

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