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首页> 外文期刊>Eurosurveillance >Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016
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Use of an ingredient-based analysis to investigate a national outbreak of Escherichia coli O157, United Kingdom, July 2016

机译:2016年7月,使用基于成分的分析调查英国O157大肠杆菌全国爆发

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Public Health England was alerted to a national outbreak of Shiga toxin-producing Escherichia coli O157 PT34 in July 2016. Early investigations suggested that the likely source was a salad item consumed outside of the home. A number of cases reported consuming meals at a staff canteen (Venue A) and a garden café (Venue B). Both venues shared a common salad supplier. An investigation was undertaken to measure associations between salad items and illness using an 'ingredient-based analysis'. A retrospective case–control study was conducted using an online questionnaire to collect information on menu items consumed at each venue. Chefs at both venues were interviewed to identify ingredients contained within each menu item. Both venues were pooled together for multivariable analysis measuring associations at the ingredient level. Among 203 responses, 24 cases were identified (13 confirmed, two probable and nine possible). Case onsets ranged between 7 and 25 June 2016. Multivariable analysis identified strong evidence that only baby mixed-leaf salad from the common supplier was a vehicle of infection (adjusted odds ratio?=?13.1; 95% confidence interval: 1.6–106.5). Identifying the specific salad ingredient associated with illness was made possible by using an ingredient-based analysis. We recommend the increased use of ingredient-based analyses.
机译:2016年7月,英国公共卫生部门接到全国产志贺毒素大肠杆菌O157 PT34疫情的警报。早期调查表明,可能的原因是在家庭外食用的色拉。许多案件报告在职工食堂(地点A)和花园咖啡厅(地点B)进餐。两个地点共享一个共同的沙拉供应商。进行了一项调查,以使用“基于成分的分析”来衡量沙拉食品与疾病之间的关联。使用在线问卷进行了回顾性病例对照研究,以收集有关每个场所使用的菜单项目的信息。在两个地点的厨师都接受了采访,以确定每个菜单项中包含的食材。将两个地点汇总在一起以进行多变量分析,以测量成分级别的关联。在203份答复中,鉴定出24例(确诊13例,可能2例,可能9例)。病例起病时间为2016年6月7日至25日。多变量分析确定了有力的证据,表明只有来自共同供应商的婴儿混合叶沙拉才是感染的媒介(调整后的优势比=?13.1; 95%置信区间:1.6-106.5)。通过使用基于成分的分析,可以识别与疾病相关的特定色拉成分。我们建议增加使用基于成分的分析。

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