Greig J D, Ravel A
Laboratory for Foodborne Zoonoses, Public Health Agency of Canada, Guelph, Ontario, Canada.
Int J Food Microbiol. 2009 Mar 31;130(2):77-87. doi: 10.1016/j.ijfoodmicro.2008.12.031. Epub 2009 Jan 6.
Analysis of foodborne outbreak data is one approach to estimate the proportion of human cases of specific enteric diseases attributable to a specific food item (food attribution). Although we recognize that for a variety of reasons reported outbreaks represent only a small portion of all actual outbreaks, using outbreak data for food attribution is the only methodological approach where, theoretically, there is an actual direct link between the pathogen, its source and each infected person. The purpose of this study was to explore the usefulness of foodborne outbreak data extracted from publicly available international electronic reports and publications to provide estimates of food attribution, to derive and compare these estimates between regions, while improving the understanding of the pathogen/food vehicle combination. Electronic reports and publications of foodborne outbreaks that occurred globally since the 1980s were systematically scanned and their data were extracted and compiled in a database. A system of food categorization was developed and food vehicles assigned accordingly. The association between the aetiology and the food source was statistically described for outbreaks with both reported aetiology and incriminated food vehicle. Differences in associations between Australia and New Zealand, Canada, the European Union (EU) and the United States (US) were explored using multiple correspondence analysis and were formally tested between the EU and the US for selected pathogens and food sources. As a result, the food and aetiology cross tabulation of 4093 foodborne outbreaks that occurred globally between 1988 and 2007 is presented and discussed. For a few aetiologies and some foods the association is very specific. The lack of a specific association between the other foods and aetiologies highlights the potential roles of cross-contamination, environmental contamination and the role of the infected foodhandler along the food chain from farm to fork. Detailed analysis of the four regions highlighted some specific associations: Salmonella Enteritidis outbreaks occurred relatively often in the EU states with eggs as the most common source; Campylobacter associated outbreaks were mainly related to poultry products in the EU and to dairy products in the US; there was an association between Escherichia coli outbreaks and beef in Canada; and while Salmonella Typhiumurium outbreaks were relatively common in Australia and New Zealand, across all regions, Salmonella was associated with a variety of food groups. The value and limitations of the study are discussed, as well as the extrapolation of the food attribution estimates beyond their outbreak context.
分析食源性疾病暴发数据是估计因特定食品导致的特定肠道疾病人间病例比例(食品归因)的一种方法。尽管我们认识到,由于各种原因,报告的暴发仅占所有实际暴发的一小部分,但使用暴发数据进行食品归因是唯一一种在理论上病原体、其来源与每个感染者之间存在实际直接联系的方法。本研究的目的是探讨从公开的国际电子报告和出版物中提取的食源性疾病暴发数据在提供食品归因估计方面的有用性,推导并比较各地区之间的这些估计值,同时增进对病原体/食品载体组合的理解。对自20世纪80年代以来全球发生的食源性疾病暴发的电子报告和出版物进行了系统扫描,并将其数据提取并汇编到一个数据库中。开发了一个食品分类系统,并据此分配食品载体。对既有报告病因又有受指控食品载体的暴发,对病因与食品来源之间的关联进行了统计学描述。使用多重对应分析探讨了澳大利亚和新西兰、加拿大、欧盟(EU)和美国之间关联的差异,并在欧盟和美国之间对选定的病原体和食品来源进行了正式检验。结果,呈现并讨论了1988年至2007年全球发生的4093起食源性疾病暴发的食品与病因交叉表。对于一些病因和某些食品,关联非常具体。其他食品与病因之间缺乏特定关联,凸显了交叉污染、环境污染以及受感染食品处理人员在从农场到餐桌的食物链中的作用。对这四个地区的详细分析突出了一些特定关联:肠炎沙门氏菌暴发在欧盟国家相对常见,鸡蛋是最常见的来源;弯曲杆菌相关暴发在欧盟主要与家禽产品有关,在美国则与乳制品有关;加拿大的大肠杆菌暴发与牛肉有关;虽然鼠伤寒沙门氏菌暴发在澳大利亚和新西兰相对常见,但在所有地区,沙门氏菌与多种食品类别有关。讨论了该研究的价值和局限性,以及食品归因估计值在其暴发背景之外的外推。