Exposure Assessment

Air pollution exposure is often estimated using a single or small number of outdoor monitors and assuming that pollutant levels are homogenous over a given area. However, concentrations may differ within a community or across persons due to numerous factors such as transportation emissions, activity patterns, and occupational exposures. We are interested in developing better methods of estimating air pollution exposure. Our research aimed at improving the use of ambient monitoring data includes studies of spatial heterogeneity of air pollution in the U.S. and Brazil, spatial analysis methods for study of lung function in Korea, and development of statistical methods to address uncertainty introduced by differences in data’s spatial domains. We performed several studies to measure personal exposure, including, to the best of our knowledge, the first use of personal monitoring in Nepal or China. Current projects explore emerging exposure methods, including source factor analysis, traffic modeling, land-use modeling, and satellite imagery. In other work, we investigate the application of air quality modeling in health-based research.


Selected Relevant Publications

Assessment of primary and secondary ambient particle trends using satellite aerosol optical depth and ground speciation data in the New England region, United States, Hyung Joo Lee, Choong-Min Kang, Brent A. Coull, Michelle L. Bell, Petros Koutrakis, Environmental Research 133, p. 103–110

PM2.5 exposure and birth outcomes: use of satellite and monitor-based data, Hyder, Ayaz, Lee, Hyung Joo, Ebisu, Keita, Koutrakis, Petros, Belanger, Kathleen, Bell, Michelle Lee, Epidemiology 25(1), p. 58-67

Survival analysis of long-term exposure to different sizes of airborne particulate matter and risk of infant mortality using a birth cohort in Seoul, Korea, Son JY, Bell ML, Lee JT, Environmental Health Perspectives 119(5), p.725-730

Spatial heterogeneity of PM10 and O3 in São Paulo, Brazil and implications for human health studies, Bravo MA, Bell ML, Journal of the Air and Waste Management Association 61(1), p. 69-77

Spatial misalignment in time series analyses of air pollution and health data, ​Peng RD, Bell ML, Biostatistics 11(4), p. 720-740

A comparison of particulate matter from biomass-burning rural and non-biomass burning urban households in Northeastern China, ​Jiang R, Bell ML, Environmental Health Perspectives 116(7), p. 907-914

The use of ambient air quality modeling to estimate individual and population exposure for human health research: a case study of ozone in the Northern Georgia region of the United States, Bell ML, Environment International 32(5), p. 586-593