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James A. Mulholland

Researcher at Georgia Institute of Technology

Publications -  190
Citations -  8612

James A. Mulholland is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Air quality index & CMAQ. The author has an hindex of 47, co-authored 186 publications receiving 7324 citations. Previous affiliations of James A. Mulholland include Massachusetts Institute of Technology & Research Triangle Park.

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Journal ArticleDOI

Ambient air pollution and respiratory emergency department visits.

TL;DR: The results of this study contribute to the evidence of an association of several correlated gaseous and particulate pollutants, including ozone, NO2, CO, PM, and organic carbon, with specific respiratory conditions.
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Short-term Associations between Ambient Air Pollutants and Pediatric Asthma Emergency Department Visits

TL;DR: Both ozone and primary pollutants from traffic sources were associated with emergency department visits for asthma or wheeze and evidence for independent effects of ozone andPrimary pollutants from Traffic sources were observed in multipollutant models.
Journal ArticleDOI

Ambient air pollution and cardiovascular emergency department visits.

TL;DR: Air quality data and emergency department visit data in Atlanta, Georgia, from January 1, 1993, to August 31, 2000 provide evidence for an association between CVD visits and several correlated pollutants, including gases, PM 2.5, and PM2.5 components.
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Review of Acellular Assays of Ambient Particulate Matter Oxidative Potential: Methods and Relationships with Composition, Sources, and Health Effects

TL;DR: Though more work is needed, OP assays show promise for health studies as they integrate the impacts of PM species and properties on catalytic redox reactions into one measurement, and current work highlights the importance of metals, organic carbon, vehicles, and biomass burning emissions to PM exposures that could impact health.
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Fine particle sources and cardiorespiratory morbidity: an application of chemical mass balance and factor analytical source-apportionment methods.

TL;DR: The findings suggest that modeled source-apportioned data can produce robust estimates of acute health risk, and particularly in Atlanta, there were consistent associations across methods between PM2.5 from mobile sources and biomass burning with both cardiovascular and respiratory ED visits, and between sulfate-rich secondary PM 2.5 with respiratory visits.