Minnesota Department of Agriculture, 625 Robert Street North, Saint Paul, Minnesota 55155, USA.
J Food Prot. 2013 May;76(5):762-9. doi: 10.4315/0362-028X.JFP-12-407.
In August 2010, the Minnesota Department of Agriculture and Minnesota Department of Health investigated an outbreak of six cases of Salmonella Newport infection occurring in northwestern Minnesota, which identified fresh blueberries as the cause. Initially, traditional traceback methods involving the review of invoices and bills of lading were used to attempt to identify the source of the outbreak. When these methods failed, novel traceback methods were used. Specifically, supplier-specific 12-digit Global Trade Item Numbers (GTINs) and shopper-card information were used to identify a single blueberry grower linked to cases, corroborating the results of a case-control study in which consuming fresh blueberries was statistically associated with illness (5 of 5 cases versus 8 of 19 controls, matched odds ratio [MOR] undefined, P = 0.02). Consuming fresh blueberries from retailer A was also statistically associated with illness (3 of 3 cases versus 3 of 18 controls, MOR undefined, P = 0.03). Based on initially incomplete evidence in this investigation, the invoices pointed to wholesaler A and grower A, based on first-in-first-out product rotation. However, when point-of-sale data were analyzed and linked to shopper-card information, a common GTIN was identified. This information led to an on-site record evaluation at retailer A, and the discovery of additional records at this location documented the supply chain from grower B to wholesaler C to retailer A, shifting the focus of the investigation from grower A to grower B. This investigation demonstrates the emerging concepts of Critical Tracking Events (CTEs) and Key Data Elements (KDE) related to food product tracing. The use of these shopper-cased data and the event data that were queried by investigators demonstrates the potential utility of consciously designed CTEs and KDEs at critical points in the supply chain to better facilitate product tracing.
2010 年 8 月,明尼苏达州农业部和明尼苏达州卫生部调查了明尼苏达州西北部发生的六起沙门氏菌纽波特感染疫情,确定新鲜蓝莓是此次疫情的源头。最初,研究人员采用传统的溯源方法,即审查发票和提单,试图确定疫情的源头。但这些方法都失败了,因此采用了新的溯源方法。具体来说,使用供应商特定的 12 位全球贸易项目编号(GTIN)和购物者卡信息来识别与病例相关的单一蓝莓种植者,这与病例对照研究的结果相符,即食用新鲜蓝莓与患病具有统计学关联(5 例病例中均食用了新鲜蓝莓,而 19 例对照中只有 8 例食用,比值比[MOR]未定义,P=0.02)。食用零售商 A 的新鲜蓝莓也与患病具有统计学关联(3 例病例中均食用了新鲜蓝莓,而 18 例对照中只有 3 例食用,MOR 未定义,P=0.03)。基于该调查中最初不完整的证据,发票指向批发商 A 和种植者 A,这是基于先入先出的产品流转原则。然而,当对销售点数据进行分析并与购物者卡信息相关联时,发现了一个共同的 GTIN。该信息导致在零售商 A 进行了现场记录评估,并在该地点发现了更多的记录,这些记录记录了从种植者 B 到批发商 C 再到零售商 A 的供应链,将调查的重点从种植者 A 转移到了种植者 B。该调查展示了与食品产品追溯相关的关键跟踪事件(CTE)和关键数据元素(KDE)的新兴概念。使用这些购物者病例数据和调查人员查询的事件数据,证明了在供应链的关键节点有意识地设计 CTE 和 KDE 的潜在效用,以便更好地促进产品追溯。