Analysing the health effects of simultaneous exposure to physical and chemical properties of airborne particles

Environment International
Monica PiraniGary W Fuller

Abstract

Airborne particles are a complex mix of organic and inorganic compounds, with a range of physical and chemical properties. Estimation of how simultaneous exposure to air particles affects the risk of adverse health response represents a challenge for scientific research and air quality management. In this paper, we present a Bayesian approach that can tackle this problem within the framework of time series analysis. We used Dirichlet process mixture models to cluster time points with similar multipollutant and response profiles, while adjusting for seasonal cycles, trends and temporal components. Inference was carried out via Markov Chain Monte Carlo methods. We illustrated our approach using daily data of a range of particle metrics and respiratory mortality for London (UK) 2002-2005. To better quantify the average health impact of these particles, we measured the same set of metrics in 2012, and we computed and compared the posterior predictive distributions of mortality under the exposure scenario in 2012 vs 2005. The model resulted in a partition of the days into three clusters. We found a relative risk of 1.02 (95% credible intervals (CI): 1.00, 1.04) for respiratory mortality associated with days characterised by high pos...Continue Reading

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Citations

Oct 16, 2015·Journal of Exposure Science & Environmental Epidemiology·Richard W AtkinsonFrank J Kelly
Feb 19, 2016·Environment International·Eric CokerJohn Molitor
Aug 9, 2016·Spatial and Spatio-temporal Epidemiology·Silvia LiveraniMarta Blangiardo
Oct 4, 2016·Environment International·Evangelia SamoliFrank J Kelly
May 10, 2017·International Journal of Environmental Research and Public Health·Eric CokerBrenda Eskenazi
Feb 11, 2018·Current Environmental Health Reports·Eric CokerJohn Molitor
Oct 11, 2017·Current Environmental Health Reports·Massimo StafoggiaXavier Basagaña
Aug 29, 2020·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Alexandra LarsenTerry Hyslop
May 1, 2021·Scientific Reports·Zahra KhorramiNarges Khanjani
May 6, 2021·Environmental Science. Processes & Impacts·Abimbola O Famuyiwa, Jane A Entwistle

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Software Mentioned

R package coda
R package PReMiuM
R library openair
R library spline
PReMiuM

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