ArticleEnvironment international2015
Health impact metrics for air pollution management strategies.
Article in Environment international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Human Health Impacts of Energy Transitions across the United States among Sociodemographic Subpopulations for the Year 2050.Environmental science & technology · 2025Article
- Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning.Sensors (Basel, Switzerland) · 2025Article
- Harm from Residential Indoor Air Contaminants.Environmental science & technology · 2024Article
- State-by-state energy-water-land-health impacts of the US net-zero emissions goal.Energy and climate change · 2023Article
- The effect of ambient PMEnvironmental health : a global access science source · 2023Article
- Health and Economic Impacts Assessment of OInternational journal of environmental research and public health · 2021Article
- Health Impacts from Ambient Particle Exposure in Southern Sweden.International journal of environmental research and public health · 2020Article
- Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion.Research report (Health Effects Institute) · 2020Article
- Air pollution control strategies directly limiting national health damages in the US.Nature communications · 2020Article
- State-level drivers of future fine particulate matter mortality in the United States.Environmental research letters : ERL [Web site] · 2019Article
- Nonlinear relationships between air pollutant emissions and PMThe Science of the total environment · 2019Article
- Environmental impacts of commuting modes in Lisbon: a life-cycle assessment addressing particulate matter impacts on health.International journal of sustainable transportation · 2019Article
- Towards environmental health equity in health impact assessment: innovations and opportunities.International journal of public health · 2019Review
- Estimating environmental co-benefits of U.S. low-carbon pathways using an integrated assessment model with state-level resolution.Applied energy · 2018Article
- Disease and Health Inequalities Attributable to Air Pollutant Exposure in Detroit, Michigan.International journal of environmental research and public health · 2017Article
- A pharmacoeconomic approach to assessing the costs and benefits of air quality interventions that improve health: a case study.BMJ open · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Health impact assessments (HIAs) inform policy and decision making by providing information regarding future health concerns, and quantitative HIAs now are being used for local and urban-scale projects. HIA results can be expressed using a variety of metrics that differ in meaningful ways, and guidance is lacking with respect to best practices for the development and use of HIA metrics. This study reviews HIA metrics pertaining to air quality management and presents evaluative criteria for their selection and use. These are illustrated in a case study where PM2.5 concentrations are lowered from 10 to 8μg/m(3) in an urban area of 1.8 million people. Health impact functions are used to estimate the number of premature deaths, unscheduled hospitalizations and other morbidity outcomes. The most common metric in recent quantitative HIAs has been the number of cases of adverse outcomes avoided. Other metrics include time-based measures, e.g., disability-adjusted life years (DALYs), monetized impacts, functional-unit based measures, e.g., benefits per ton of emissions reduced, and other economic indicators, e.g., cost-benefit ratios. These metrics are evaluated by considering their comprehensiveness, the spatial and temporal resolution of the analysis, how equity considerations are facilitated, and the analysis and presentation of uncertainty. In the case study, the greatest number of avoided cases occurs for low severity morbidity outcomes, e.g., asthma exacerbations (n=28,000) and minor-restricted activity days (n=37,000); while DALYs and monetized impacts are driven by the severity, duration and value assigned to a relatively low number of premature deaths (n=190 to 230 per year). The selection of appropriate metrics depends on the problem context and boundaries, the severity of impacts, and community values regarding health. The number of avoided cases provides an estimate of the number of people affected, and monetized impacts facilitate additional economic analyses useful to policy analysis. DALYs are commonly used as an aggregate measure of health impacts and can be used to compare impacts across studies. Benefits per ton metrics may be appropriate when changes in emissions rates can be estimated. To address community concerns and HIA objectives, a combination of metrics is suggested.
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