Jeremy A. Sarnat

TL;DR: Six-day moving averages of all 4 particle metrics were associated with decreased vascular reactivity among patients with diabetes but not those at risk, and diabetes confers vulnerability to particles associated with coal-burning power plants and traffic.

TL;DR: An empiric Bayes metaregression to estimate the ozone effect on mortality demonstrates that geographic and seasonal heterogeneity in ozone relative risk should be anticipated, but that the observed relationship between ozone and mortality should be considered for future regulatory impact analyses.

TL;DR: Both ozone and primary pollutants from traffic sources were associated with emergency department visits for asthma or wheeze and evidence for independent effects of ozone andPrimary pollutants from Traffic sources were observed in multipollutant models.

TL;DR: A geographically weighted regression model was developed to examine the relationship among PM(2.5), aerosol optical depth, meteorological parameters, and land use information, and suggested that North American Land Data Assimilation System could be used as an alternative of North American Regional Reanalysis to provide some of the meteorological fields.

TL;DR: The findings suggest that modeled source-apportioned data can produce robust estimates of acute health risk, and particularly in Atlanta, there were consistent associations across methods between PM2.5 from mobile sources and biomass burning with both cardiovascular and respiratory ED visits, and between sulfate-rich secondary PM 2.5 with respiratory visits.