Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland

Contribution of Satellite-Derived Aerosol Optical Depth PM<sub>2.5</sub> Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland

The fine particulate matter baseline (PMB), which includes PM<sub>2.5</sub> monitor readings <i>fused</i> with Community Multiscale Air Quality (CMAQ) model predictions, using the Hierarchical Bayesian Model (HBM), is less accurate in rural areas without monitors. To address...

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Bibliographic Details
Main Authors: John T. Braggio, Eric S. Hall, Stephanie A. Weber, Amy K. Huff
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Atmosphere
Subjects:
pm<sub>2.5</sub>
aod-pm<sub>2.5</sub>
cmaq
case-crossover
ip hospitalizations
ed visits: asthma
myocardial infarction
heart failure
season
Online Access:https://www.mdpi.com/2073-4433/11/2/209

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