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首页> 外文期刊>Korean Journal of Food Science and Technology >Statistical Probability Analysis of Storage Temperatures of Domestic Refrigerator as a Risk Factor of Foodborne Illness Outbreak
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Statistical Probability Analysis of Storage Temperatures of Domestic Refrigerator as a Risk Factor of Foodborne Illness Outbreak

机译：家用冰箱储藏温度作为食源性疾病暴发危险因素的统计概率分析

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摘要

The objective of this study was to present the proper probability distribution model based on the data obtained from surveys on domestic refrigerator food storage temperatures in home. Domestic refrigerator temperatures were determined as risk factorsin foodborne disease outbreaks for microbial risk assessment (MRA). The temperature was measured by directly visiting 139 homes using a data logger from May to September of 2009. The overall mean temperature for all the refrigerators in the survey was 3.53+-2.96 deg C, with 23.6% of the refrigerators measuring above 5 deg C. Probability distributions were also created using @RISK program based on the measured temperature data. Statistical ranking was determined by the goodness of fit (OOF, i.e., the Kolmogorov-Smimov (KS) or Anderson-Darling (AD) test) to determine the proper probability distribution model. This result showed that the LogLogistic (-10.407, 13.616, 8.6107) distribution was found to be the most appropriate for the MRA model. The resultsof this study might be directly used as input variables in exposure evaluation for conducting MRA.
机译：这项研究的目的是基于从对家用冰箱食品储藏温度的调查中获得的数据，提出适当的概率分布模型。将家用冰箱温度确定为食源性疾病暴发的危险因素，以进行微生物风险评估（MRA）。通过使用数据记录器从2009年5月至9月直接访问139户房屋来测量温度。调查中所有冰箱的总体平均温度为3.53 + -2.96摄氏度，其中23.6％的冰箱的平均温度高于5摄氏度还使用@RISK程序基于测得的温度数据创建了概率分布。统计等级由拟合优度（OOF，即Kolmogorov-Smimov（KS）或Anderson-Darling（AD）检验）确定，以确定适当的概率分布模型。该结果表明，发现LogLogistic（-10.407、13.616、8.6107）分布最适合MRA模型。这项研究的结果可以直接用作进行MRA的暴露评估中的输入变量。

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