Exposure prediction approaches used in air pollution epidemiology studies: key findings and future recommendations.

ABSTRACT: Many epidemiologic studies of the health effects of exposure to ambient air pollution use measurements from central-site monitors as their exposure estimate. However, measurements from central-site monitors may lack the spatial and temporal resolution required to capture exposure variability in a study population, thus resulting in exposure error and biased estimates. Articles in this dedicated issue examine various approaches to predict or assign exposures to ambient pollutants. These methods include combining existing central-site pollution measurements with local- and/or regional-scale air quality models to create new or "hybrid" models for pollutant exposure estimates and using exposure models to account for factors such as infiltration of pollutants indoors and human activity patterns

SUBMITTER: Baxter LK 

PROVIDER: S-EPMC4088339 | biostudies-literature | 2013 Nov-Dec

REPOSITORIES: biostudies-literature