Survey of Ambient Air Pollution Health Risk Assessment Tools

范围(计算机科学) 空气污染 风险评估 暴露评估 风险分析(工程) 计算机科学 健康影响评估 人口 空气质量指数 环境卫生 环境规划 公共卫生 环境科学 业务 地理 医学 气象学 计算机安全 程序设计语言 化学 有机化学 护理部
作者
Susan C. Anenberg,Anna Belová,Jörgen Brandt,Neal Fann,Susan Greco,Sarath Guttikunda,Marie-Ève Héroux,Fintan Hurley,Michał Krzyżanowski,Sylvia Médina,Brian G. Miller,Kiran Pandey,Joachim Roos,Rita Van Dingenen
出处
期刊:Risk Analysis [Wiley]
卷期号:36 (9): 1718-1736 被引量:63
标识
DOI:10.1111/risa.12540
摘要

Designing air quality policies that improve public health can benefit from information about air pollution health risks and impacts, which include respiratory and cardiovascular diseases and premature death. Several computer‐based tools help automate air pollution health impact assessments and are being used for a variety of contexts. Expanding information gathered for a May 2014 World Health Organization expert meeting, we survey 12 multinational air pollution health impact assessment tools, categorize them according to key technical and operational characteristics, and identify limitations and challenges. Key characteristics include spatial resolution, pollutants and health effect outcomes evaluated, and method for characterizing population exposure, as well as tool format, accessibility, complexity, and degree of peer review and application in policy contexts. While many of the tools use common data sources for concentration‐response associations, population, and baseline mortality rates, they vary in the exposure information source, format, and degree of technical complexity. We find that there is an important tradeoff between technical refinement and accessibility for a broad range of applications. Analysts should apply tools that provide the appropriate geographic scope, resolution, and maximum degree of technical rigor for the intended assessment, within resources constraints. A systematic intercomparison of the tools’ inputs, assumptions, calculations, and results would be helpful to determine the appropriateness of each for different types of assessment. Future work would benefit from accounting for multiple uncertainty sources and integrating ambient air pollution health impact assessment tools with those addressing other related health risks (e.g., smoking, indoor pollution, climate change, vehicle accidents, physical activity).

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