Developing a risk-based air quality health index

Wong, Tze Wai; Tam, Wilson W.S.; Yu, Ignatius Tak Sun; Lau, Alexis K.H.; Pang, Sik Wing; Wong, Andromeda H.S.

doi:10.1016/j.atmosenv.2012.06.071

Cited by 105 publications

(54 citation statements)

References 12 publications

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“…Sensitivity analyses showed that the multi-city formulation was in good agreement with single-city epidemiologic effect estimates (Stieb et al, 2008). Other researchers have proposed similar multipollutant indexes using effect estimates from locally-conducted epidemiologic analyses to make the indexes more applicable to a specific area (Cairncross et al, 2007;Sicard et al, 2011Sicard et al, , 2012Wong et al, 2013).…”

Section: Metrics Based On Health Effectsmentioning

confidence: 86%

Evaluating the application of multipollutant exposure metrics in air pollution health studies

Oakes¹,

Baxter

Long

2014

Environment International

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a b s t r a c t a r t i c l e i n f oBackground: Health effects associated with air pollution are typically evaluated using a single pollutant approach, yet people are exposed to mixtures consisting of multiple pollutants that may have independent or combined effects on human health. Development of exposure metrics that represent the multipollutant environment is important to understand the impact of ambient air pollution on human health. Objectives: We reviewed existing multipollutant exposure metrics to evaluate how they can be applied to understand associations between air pollution and health effects. Methods: We conducted a literature search using both targeted search terms and a relational search in Web of Science and PubMed in April and December 2013. We focused on exposure metrics that are constructed from ambient pollutant concentrations and can be broadly applied to evaluate air pollution health effects. Results: Multipollutant exposure metrics were identified in 57 eligible studies. Metrics reviewed can be categorized into broad pollutant grouping paradigms based on: 1) source emissions and atmospheric processes or 2) common health outcomes. Discussion: When comparing metrics, it is apparent that no universal exposure metric exists; each type of metric addresses different research questions and provides unique information on human health effects. Key limitations of these metrics include the balance between complexity and simplicity as well as the lack of an existing "gold standard" for multipollutant health effects and exposure. Conclusions: Future work on characterizing multipollutant exposure error and joint effects will inform development of improved multipollutant metrics to advance air pollution health effects research and human health risk assessment.

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Section: Metrics Based On Health Effectsmentioning

confidence: 86%

Evaluating the application of multipollutant exposure metrics in air pollution health studies

Oakes¹,

Baxter

Long

2014

Environment International

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“…Wong et al (2013) developed a HAQI for Hong Kong, but no studies have been conducted to investigate the differences between the AQI, AAQI, or HAQI approaches in designating air pollution severities in mainland China. In a recent study, the spatial and temporal distributions of six criteria pollutants in China were revealed , making it possible for the first time to investigate how effective different AQI approaches in characterizing the severity of multiple-pollutant air pollution in China.…”

Section: Introductionmentioning

confidence: 99%

“…The results indicate that the AAQI estimates the air pollution exposure more effectively than the US EPA AQI. Another novel alternative AQI approach is based on the health risk associated with exposure to multiple air pollutants (Cairncross et al, 2007;Sicard et al, 2012;Stieb et al, 2008;Wong et al, 2013). The health-risk based AQI (HAQI) considers the established exposure (or concentration)-response relationships.…”

Section: Introductionmentioning

confidence: 99%

Characterizing multi-pollutant air pollution in China: Comparison of three air quality indices

Ying

Wang³

et al. 2015

Environment International

178

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“…Theoretical modelling diversification and objective, multi-dimensional approaches will be important development directions of the ambient air quality assessment methods in the long term. For instance, methods using improved indexes or new mathematical algorithms may be included in the standards as they can provide more comprehensive and reasonable predictions and impact assessments of health risk (Zhang et al 2009;Sowlat et al 2011;Zhen & Yin 1984;Wong et al 2012;Chen et al 2013). Additionally, China is going to gradually improve quality assurance and quality control as planned in the "12th FiveYear Plan" for environmental Protection Standards (MeP 2013) to improve the data validity requirements in the future standards.…”

Section: Improvement Of the Newest Standard In Assay And Assessmentmentioning

confidence: 99%

Evolution and comparative assessment of ambient air quality standards in China

Zhao

et al. 2016

Journal of Integrative Environmental Sciences

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Developing a risk-based air quality health index

Cited by 105 publications

References 12 publications

Evaluating the application of multipollutant exposure metrics in air pollution health studies

Evaluating the application of multipollutant exposure metrics in air pollution health studies

Characterizing multi-pollutant air pollution in China: Comparison of three air quality indices

Evolution and comparative assessment of ambient air quality standards in China

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