Mantovani Alberto
Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità (ISS) viale Regina Elena, Rome, Italy.
Methods Mol Biol. 2018;1800:219-229. doi: 10.1007/978-1-4939-7899-1_10.
Uncertainties can be defined as the gaps of knowledge and/or of data sets and/or of methodologies that can exert an unwanted influence on the outcome of a risk assessment. In principle, uncertainties are unavoidable, and thus, a transparent description and weighing of relevant uncertainties should be a necessary component of risk assessment. Examples are provided of uncertainty analysis in recent opinions of the European Food Safety Authority concerning additives, pesticides, and contaminants. Whereas it is difficult to quantify the impact of each specific uncertainty on the outcome, it should be possible to quantify the combined effect of identified uncertainties; also, a stepwise approach may be envisaged, focusing on those issues where a detailed appraisal of uncertainties is needed. On a more general ground, consideration of uncertainty and its sources meets the general requirement for transparency in scientific assessment.
不确定性可定义为知识和/或数据集和/或方法上的差距,这些差距可能对风险评估的结果产生不良影响。原则上,不确定性是不可避免的,因此,对相关不确定性进行透明的描述和权衡应是风险评估的必要组成部分。文中列举了欧洲食品安全局近期关于添加剂、农药和污染物的意见中的不确定性分析示例。虽然难以量化每个特定不确定性对结果的影响,但应能够量化已识别不确定性的综合影响;此外,可设想一种逐步推进的方法,重点关注那些需要对不确定性进行详细评估的问题。更一般地说,考虑不确定性及其来源符合科学评估中对透明度的总体要求。