Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion.
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ABSTRACT:
SUBMITTER: Batterman S
PROVIDER: S-EPMC7313251 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature
Publications
Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion.
Batterman S S Berrocal V J VJ Milando C C Gilani O O Arunachalam S S Zhang K M KM
Research report (Health Effects Institute) 20200301 202
<h4>Introduction</h4>The adverse health effects associated with exposure to traffic-related air pollutants (TRAPs) remain a key public health issue. Often, exposure assessments have not represented the small-scale variation and elevated concentrations found near major roads and in urban settings. This research explores approaches aimed at improving exposure estimates of TRAPs that can reduce exposure measurement error when used in health studies. We consider dispersion models designed specifical ...[more]
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