Suppr超能文献

操作人员和居民非饮食暴露概率评估的挑战。

Challenges of probabilistic assessment of operator and residential non-dietary exposure.

作者信息

Hunter Youngren S, Youngren M A, Barraj L

机构信息

Novigen Sciences, Inc., Washington, DC 20036, USA.

出版信息

Ann Occup Hyg. 2001 Apr;45 Suppl 1:S49-54. doi: 10.1016/s0003-4878(01)00002-3.

Abstract

There are several challenges in the area of probabilistic exposure assessment of operator and residential non-dietary exposure: the proper uses of the available data and how to adequately understand and characterize the uncertainty in the assessment. The adequacy of the data can be assessed either qualitatively or quantitatively. If a qualitative assessment were deemed acceptable, then expert judgement would be the primary methodology. However, in most instances a quantitative assessment of adequacy will be possible and will provide more pertinent information. In that case statistical techniques should be used. Understanding and characterizing uncertainty is a separate challenge, which is often ignored. Instead risk assessors present characterizing the variability in the assessment as a characterization of both uncertainty and variability. This can lead to misinterpretation of the outputs of the assessment. Interpretation of outputs can be discussed on two levels - familiarizing the risk managers and the policy makers with the types of outputs resulting from a probabilistic assessment (graphs and/or matrices of values) as well as explaining the meanings and implications of the values. The burden is placed on the assessor to clearly reflect to the risk managers and policy makers the way on which variability and uncertainty were handled in the assessment. In advising the risk managers and policy makers, it is important to remind them of the purpose of conducting a probabilistic risk assessment: the probabilistic assessment allows a means to characterize the degrees of uncertainty and variability in terms of probabilities.

摘要

在操作人员和居民非饮食暴露的概率性暴露评估领域存在若干挑战

如何正确使用现有数据,以及如何充分理解和描述评估中的不确定性。数据的充分性可以进行定性或定量评估。如果定性评估被认为是可接受的,那么专家判断将是主要方法。然而,在大多数情况下,可以进行数据充分性的定量评估,并且这将提供更相关的信息。在这种情况下,应使用统计技术。理解和描述不确定性是一个单独的挑战,而这一点常常被忽视。相反,风险评估人员将评估中的变异性描述为不确定性和变异性两者的特征。这可能导致对评估结果的误解。可以在两个层面讨论结果的解释——让风险管理者和政策制定者熟悉概率性评估产生的结果类型(数值图表和/或矩阵),以及解释这些数值的含义和影响。评估人员有责任向风险管理者和政策制定者清楚地反映在评估中处理变异性和不确定性的方式。在向风险管理者和政策制定者提供建议时,重要的是提醒他们进行概率性风险评估的目的:概率性评估提供了一种根据概率来描述不确定性和变异性程度的方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验