Jaine A M
BTSafety, Eden Prairie, MN, USA.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2008 Sep;25(9):1067-75. doi: 10.1080/02652030802017511.
Food-borne outbreak modelling is a technique by which statistical methodologies and data are used to model various aspects of food contamination outbreaks, with the primary goal of helping to reduce the threat of food-borne illness. There are two primary approaches to such modelling: risk ranking and pathway analysis. These two approaches fulfil different needs and are used side by side to help mitigate the risks of food-borne outbreaks. The increasing severity and impact of food poisoning outbreaks are increasing the need for new techniques to enable rapid detection and response to outbreaks whilst they are still in process. One such novel technique is implemented in the 'Consequence Management System', a computerized model that uses a structured, phased form of pathway analysis to model the entire evolution of food-borne illnesses involving scenarios of contamination of specific food products with various agents. The results of these models help in the evaluation of the probable consequences of the scenarios, the optimal ways to intervene in their evolution to reduce these consequences, and the overall risk associated with different products and agents.
食源性疾病暴发建模是一种利用统计方法和数据对食源性污染暴发的各个方面进行建模的技术,其主要目标是帮助降低食源性疾病的威胁。此类建模有两种主要方法:风险排名和路径分析。这两种方法满足不同需求,并行使用以帮助减轻食源性疾病暴发的风险。食物中毒暴发的严重性和影响日益增加,因此越来越需要新技术,以便在暴发仍在发生时能够快速检测并做出应对。一种这样的新技术在“后果管理系统”中得以应用,这是一个计算机化模型,它使用结构化、分阶段的路径分析形式对涉及特定食品被各种病原体污染情况的食源性疾病的整个演变过程进行建模。这些模型的结果有助于评估各种情况可能产生的后果、干预其演变以减少这些后果的最佳方法,以及与不同产品和病原体相关的总体风险。