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改进食源性疾病暴发调查中的纳入和排除标准:案例研究。

Improving inclusion and exclusion criteria in foodborne illness outbreak investigations: a case study.

机构信息

Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, USA.

出版信息

Epidemiol Infect. 2020 Feb 7;148:e24. doi: 10.1017/S0950268820000138.

Abstract

The practice of foodborne illness outbreak investigations has evolved, shifting away from large-scale community case-control studies towards more focused case exposure assessments and sub-cluster investigations to identify contaminated food sources. Criteria to include or exclude cases are established to increase the efficiency of epidemiological analyses and traceback activities, but these criteria can also affect the investigator's ability to implicate a suspected food vehicle. A 2010 outbreak of Salmonella ser. Hvittingfoss infections associated with a chain of quick-service restaurants (Chain A) provided a useful case study on the impact of exclusion criteria on the ability to identify a food vehicle. In the original investigation, a case-control study of restaurant-associated cases and well meal companions was conducted at the ingredient level to identify a suspected food vehicle; however, 21% of cases and 22% of well meal companions were excluded for eating at Chain A restaurants more than once during the outbreak. The objective of this study was to explore how this decision affected the results of the outbreak investigation.

摘要

食源性疾病暴发调查实践已经发展,从大规模的社区病例对照研究转向更集中的病例暴露评估和子群调查,以确定受污染的食物来源。确定纳入或排除病例的标准是为了提高流行病学分析和追溯活动的效率,但这些标准也会影响调查人员将疑似食源性疾病归因于特定食物的能力。2010 年发生了一起与一系列快餐连锁店(A 链)有关的肠炎沙门氏菌 Hvittingfoss 感染暴发,为排除标准对识别食源性疾病的能力的影响提供了一个有用的案例研究。在最初的调查中,对与餐馆相关的病例和同餐伙伴进行了餐馆相关病例的病例对照研究,以确定疑似食源性疾病;然而,由于在暴发期间在 A 链餐厅就餐超过一次,21%的病例和 22%的同餐伙伴被排除在外。本研究的目的是探讨这一决定如何影响暴发调查的结果。

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