风险评估
背景(考古学)
超级基金
风险分析(工程)
等价(形式语言)
计算机科学
公制(单位)
产品(数学)
代理(哲学)
过程(计算)
业务
数学
工程类
危险废物
哲学
认识论
操作系统
古生物学
几何学
计算机安全
离散数学
营销
生物
废物管理
作者
Kristin M. Marano,Charlene Liu,William G. Fuller,P. Robinan Gentry
标识
DOI:10.1016/j.yrtph.2018.03.026
摘要
Quantitative risk assessment (QRA), a scientific, evidence-based analytical process that combines chemical and biological data to quantify the probability and potential impact of some defined risk, is used by regulatory agencies for decision-making. Thus, in tobacco product regulation, specifically in substantial equivalence (SE) evaluations, QRA can provide a useful, practical, and efficient approach to address questions that might arise regarding human health risk and potential influence on public health. In SE reporting, when differences in product characteristics may necessitate the determination of whether a new product raises different questions of public health, the results from QRA are a valuable metric. An approach for QRA in this context is discussed, which is modeled after the methodology for assessment of constituent mixtures by the US Environmental Protection Agency for environmental Superfund site assessment. Given the intent in both cases is an assessment of the public health impact resulting from the totality of exposure to a mixture of constituents, the application is appropriate. Although some uncertainties in the information incorporated may exist, relying on the most appropriate of the available data increases the confidence and decreases the uncertainty in the risk characterization using this data-driven methodology.
科研通智能强力驱动
Strongly Powered by AbleSci AI