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.
Personal monitoring of air pollution in China (Jiang and Bell Environmental Health Perspectives 2008).
Analysis of spatial exposure methods for daily maximum O3 in Seoul, Korea (Son et al. Environmental Research 2010).
Son JY, Bell ML, Lee JT. In press. 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. Environmental Health Perspectives.
Bravo MA, Bell ML. 2011. Spatial heterogeneity of PM10 and O3 in São Paulo, Brazil and implications for human health studies. Journal of the Air and Waste Management Association 61(1), p. 69-77.
Peng RD, Bell ML. 2010. Spatial misalignment in time series analyses of air pollution and health data. Biostatistics 11(4), p. 720-740.
Jiang R, Bell ML. 2008. A comparison of particulate matter from biomass-burning rural and non-biomass burning urban households in Northeastern China. Environmental Health Perspectives 116(7), p. 907-914.
Bell ML. 2006. 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. Environment International 32(5), p. 586-593.