| Literature DB >> 26742852 |
Susan C Anenberg1, Anna Belova2, Jørgen Brandt3, Neal Fann4, Sue Greco5, Sarath Guttikunda6, Marie-Eve Heroux7, Fintan Hurley8, Michal Krzyzanowski9, Sylvia Medina10, Brian Miller8, Kiran Pandey11, Joachim Roos12, Rita Van Dingenen13.
Abstract
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).Entities:
Keywords: Air pollution; health impact assessment tools; mortality; ozone; particulate matter
Year: 2016 PMID: 26742852 DOI: 10.1111/risa.12540
Source DB: PubMed Journal: Risk Anal ISSN: 0272-4332 Impact factor: 4.000