title: ESTIMATING DAILY NITROGEN DIOXIDE LEVEL: EXPLORING TRAFFIC EFFECTS.
abstract: Data used to assess acute health effects from air pollution typically have good temporal but poor spatial resolution or the opposite. A modified longitudinal model was developed that sought to improve resolution in both domains by bringing together data from three sources to estimate daily levels of nitrogen dioxide (NO2) at a geographic location. MonthlyNO2measurements at 316 sites were made available by the Study of Traffic, Air quality and Respiratory health (STAR). Four US Environmental Protection Agency monitoring stations have hourly measurements ofNO2. Finally, the Connecticut Department of Transportation provides data on traffic density on major roadways, a primary contributor toNO2pollution. Inclusion of a traffic variable improved performance of the model, and it provides a method for estimating exposure at points that do not have direct measurements of the outcome. This approach can be used to estimate daily variation in levels ofNO2over a region.
authors: Yale University.
authors: Lixun
authors: L
authors: Zhang
authors: Yongtao
authors: Y
authors: Guan
authors: Brian P
authors: BP
authors: Leaderer
authors: Theodore R
authors: TR
authors: Holford
keywords: Bayesian model; EPA; air pollution; longitudinal model; nitrogen dioxide