Air pollution exposure

Quantifying the impact of daily mobility on errors in air pollution exposure estimation using mobile phone location data
One major source of uncertainty in accurately estimating human exposure to air pollution is that human subjects move spatiotemporally, …
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Characterizing population exposure to coal emissions sources in the United States using the HyADS model
In anticipation of the expanding appreciation for air quality models in health outcomes studies, we develop and evaluate a …
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On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies
© 2019 Elsevier Ltd Appropriately characterizing spatiotemporal individual mobility is important in many research areas, including …
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