An overview of recent advances in air pollution exposure modeling

Introduction: Air pollution is a leading contributor to the burden of disease and is associated with an expanding suite of health outcomes. This presentation provides an overview of recent developments in models to estimate exposure, with emphasis on individual-level measurements of long-term exposure. Methods: From a global perspective, advances in satellite-based estimates and their coupling with chemical transport models and land use data have facilitated evaluation of air pollution health impacts in rural and other areas without routine ambient monitoring networks at increasingly high resolution. At the urban scale, land use regression (LUR) models provide detailed information on variability in air pollution exposure within urban areas. Initial models were developed manly in North America and Western Europe, with recent extensions to settings with higher concentrations and more complex sources, with varying degrees of success. For example, with increasing numbers of high-rise residences in urban areas...