Journal article

Exploring Variation and Predictors of Residential Fine Particulate Matter Infiltration

Nina A Clark, Ryan W Allen, Perry Hystad, Lance Wallace, Sharon D Dell, Richard Foty, Ewa Dabek-Zlotorzynska, Greg Evans, Amanda J Wheeler



Although individuals spend the majority of their time indoors, most epidemiological studies estimate personal air pollution exposures based on outdoor levels. This almost certainly results in exposure misclassification as pollutant infiltration varies between homes. However, it is often not possible to collect detailed measures of infiltration for individual homes in large-scale epidemiological studies and thus there is currently a need to develop models that can be used to predict these values. To address this need, we examined infiltration of fine particulate matter (PM(2.5)) and identified determinants of infiltration for 46 residential homes in Toronto, Canada. Infiltration was estimated..

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Funding Acknowledgements

The authors would like to acknowledge the generosity of the families who participated in this study and provided valuable data. We would like to thank Robin Coombs and Kelly Sabaliauskas for their careful data collection. Appreciation is expressed to Keith Van Ryswyk, Hongyu You and Ryan Kulka for their help with training and data management. The authors are grateful to Dave Stieb for his guidance and suggestions regarding the design of the study. The GIS data were kindly provided by Michael Jerrett, Bernie Beckerman and Ketan Shankardass. Thank you to David Mathieu for his assistance with the XRF analyses. Funding was provided by Health Canada under the Clean Air Regulatory Agenda.