Sue Estes

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: In this paper, a new aerosol product with 1 km spatial resolution derived by the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm was examined using a two-stage spatial statistical model with meteorological fields and land use parameters (e.g., forest cover, road length, elevation, and point emissions).

TL;DR: The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death, using a social-ecological framework that builds on the exposomes paradigm for conceptualizing how exogenous exposures “get under the skin”.

TL;DR: A satellite-derived estimate of fine particulate matter concentration was used to determine whether PM2.5 was associated with incident cognitive impairment in a geographically diverse, biracial US cohort of men and women, and whether the relationship differs between urban and rural areas.

TL;DR: A remote sensing and geographic information system (GIS)-based study to characterize fine particulate matter, insolation and land surface temperature using NASA satellite observations, Environmental Protection Agency ground-level monitor data and NLDAS data products on a national scale.