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食品副产物层面的来源归因,用于开发加拿大食品检验局风险评估模型。

Source attribution at the food sub-product level for the development of the Canadian Food Inspection Agency risk assessment model.

机构信息

Canadian Food Inspection Agency, 1400 Merivale, Ottawa, Ontario K1A 0Y9, Canada.

Canadian Food Inspection Agency, 3200 Sicotte, St-Hyacinthe, Québec J2S 2M2, Canada.

出版信息

Int J Food Microbiol. 2019 Sep 16;305:108241. doi: 10.1016/j.ijfoodmicro.2019.108241. Epub 2019 Jun 13.

DOI:10.1016/j.ijfoodmicro.2019.108241
PMID:31295679
Abstract

Decreasing the health burden caused by foodborne pathogens is challenging and it depends on the identification of the most significant hazards and food sources causing illnesses, so adequate mitigation strategies can be implemented. In this regard, the Canadian Food Inspection Agency (CFIA) has developed the Establishment-based Risk Assessment (ERA) model, so that a more effective and efficient allocation of resources can be assigned to the highest food safety risk areas. To assess risk, the model considers the type of food sub-products being manufactured by establishments and its scope is limited to the 17 most important foodborne pathogens representing the highest level of food safety risk. However, the information on source attribution at the sub-product level based on a structured approach is limited. To overcome this challenge, an expert elicitation was conducted in 2016 to estimate the relative contribution and associated certainty of each sub-product for 31 pathogen-commodity combinations to the total Canadian health burden associated with foodborne illnesses (expressed in DALYs). These DALYs represent 78% of the total Canadian health burden associated with federally-regulated food commodities considered within the model. A total of 49 Canadian experts recruited using a "snow ball" sampling strategy participated in the study by completing an electronic survey. Results of the elicitation displayed variable levels of health burden allocation between the pathogens and the different commodity sub-products. Assessment of the certainty levels showed some combinations being evaluated with more confidence (e.g., Campylobacter and eggs/poultry sub-products) than others, where a bimodal distribution of certainty was observed (e.g., Toxoplasma in pork sub-products). Furthermore, no participant raised concerns on the food classification scheme, suggesting their agreement with the proposed sub-products categorization of the elicitation. Relative contribution estimates will be included in the CFIA ERA model and used to enhance its applicability for risk prioritization and effective resource allocation during food establishment inspections. While substantial uncertainty around the central tendency estimates was found, these estimates provide a good basis for regulatory oversight and public health policy.

摘要

降低食源性致病菌造成的健康负担具有挑战性,这取决于识别导致疾病的最重要危害和食物来源,以便能够实施充分的缓解策略。在这方面,加拿大食品检验局 (CFIA) 开发了基于企业的风险评估 (ERA) 模型,以便能够将资源更有效地分配到食品安全风险最高的领域。为了评估风险,该模型考虑了企业制造的食品副产物类型,其范围仅限于代表最高食品安全风险的 17 种最重要的食源性致病菌。然而,基于结构化方法的副产物层面的源归因信息有限。为了克服这一挑战,2016 年进行了一次专家评估,以估计 31 种病原体-商品组合中每个副产物对与食源性疾病相关的加拿大总健康负担(用 DALY 表示)的相对贡献及其确定性。这些 DALY 占模型中考虑的联邦监管食品商品相关的加拿大总健康负担的 78%。通过使用“滚雪球”抽样策略,共招募了 49 名加拿大专家参与研究,通过填写电子调查问卷完成研究。评估结果显示,在病原体和不同商品副产物之间,健康负担的分配存在差异。对确定性水平的评估表明,一些组合的评估置信度更高(例如,弯曲杆菌和鸡蛋/家禽副产物),而其他组合的评估置信度则较低,观察到确定性的双峰分布(例如,猪肉副产物中的弓形体)。此外,没有参与者对食品分类方案提出质疑,这表明他们同意评估中提出的副产物分类。相对贡献估计数将纳入 CFIA ERA 模型,并用于增强其在食品企业检查期间进行风险优先排序和有效资源分配的适用性。虽然发现了中心趋势估计值存在大量不确定性,但这些估计值为监管监督和公共卫生政策提供了良好的依据。

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