• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Risk analysis >NUSAP Method for Evaluating the Data Quality in a Quantitative Microbial Risk Assessment Model for Salmonella in the Pork Production Chain
【24h】

NUSAP Method for Evaluating the Data Quality in a Quantitative Microbial Risk Assessment Model for Salmonella in the Pork Production Chain

机译：NUSAP方法在猪肉生产链中沙门氏菌定量微生物风险评估模型中评估数据质量

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The numeral unit spread assessment pedigree (NUSAP) system was implemented to evaluate the quality of input parameters in a quantitative microbial risk assessment (QMRA) model for Salmonella spp. in minced pork meat. The input parameters were grouped according to four successive exposure pathways: (1) primary production (2) transport, holding, and slaughterhouse, (3) postprocessing, distribution, and storage, and (4) preparation and consumption. An inventory of 101 potential input parameters was used for building the QMRA model. The characteristics of each parameter were denned using a standardized procedure to assess (1) the source of information, (2) the sampling methodology and sample size, and (3) the distributional properties of the estimate. Each parameter was scored by a panel of experts using a pedigree matrix containing four criteria (proxy, empirical basis, method, and validation) to assess the quality, and this was graphically represented by means of kite diagrams. The parameters obtained significantly lower scores for the validation criterion as compared with the other criteria. Overall strengths of parameters related to the primary production module were significantly stronger compared to the other modules (the transport, holding, and slaughterhouse module, the processing, distribution, and storage module, and the preparation and consumption module). The pedigree assessment contributed to select 20 parameters, which were subsequently introduced in the QMRA model. The NUSAP methodology and kite diagrams are objective tools to discuss and visualize the quality of the parameters in a structured way. These two tools can be used in the selection procedure of input parameters for a QMRA, and can lead to a more transparent quality assurance in the QMRA.
机译：实施了数字单位传播评估谱系（NUSAP）系统，以在沙门氏菌属的定量微生物风险评估（QMRA）模型中评估输入参数的质量。在碎猪肉中。输入参数根据四个连续的暴露途径进行分组：（1）初级生产（2）运输，持有和屠宰场，（3）后处理，分配和存储，以及（4）制备和食用。使用101个潜在输入参数的清单来构建QMRA模型。使用标准化程序确定每个参数的特征，以评估（1）信息来源，（2）抽样方法和样本数量以及（3）估计的分布特性。专家组使用谱系矩阵对每个参数进行评分，该谱系矩阵包含四个标准（代理，经验依据，方法和验证）以评估质量，并通过风筝图以图形方式表示。与其他标准相比，这些参数获得的确认标准得分明显较低。与其他模块（运输，保持和屠宰场模块，加工，分配和存储模块以及制备和消耗模块）相比，与主要生产模块相关的参数的整体强度明显更强。系谱评估有助于选择20个参数，随后将其引入QMRA模型。 NUSAP方法论和风筝图是用于以结构化方式讨论和可视化参数质量的客观工具。这两个工具可用于QMRA的输入参数的选择过程，并且可以导致QMRA中更加透明的质量保证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号