M
Michael Jerrett
Researcher at University of California, Los Angeles
Publications - 338
Citations - 39610
Michael Jerrett is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Environmental exposure & Population. The author has an hindex of 93, co-authored 316 publications receiving 33330 citations. Previous affiliations of Michael Jerrett include University of California, Berkeley & McMaster University.
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Assessing spatial variability of ambient nitrogen dioxide in Montréal, Canada, with a land-use regression model.
TL;DR: A land-use regression model is derived to estimate on a geographical basis ambient concentrations of nitrogen dioxide in Montréal, Quebec, Canada, to assess exposure in epidemiologic studies on the health effects of traffic-related air pollution.
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A land use regression for predicting fine particulate matter concentrations in the New York City region
TL;DR: In this paper, the authors developed regression equations to predict fine particulate matter (PM 2.5 ) at air monitoring locations in the New York City region using data on nearby traffic and land use patterns.
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Do socioeconomic characteristics modify the short term association between air pollution and mortality? Evidence from a zonal time series in Hamilton, Canada
Michael Jerrett,Rick Burnett,Jeffrey R. Brook,Pavlos S. Kanaroglou,Chris Giovis,Norm Finkelstein,Brian Hutchison +6 more
TL;DR: Low educational attainment and high manufacturing employment in the zones significantly and positively modified the acute mortality effects of air pollution exposure, and increased mortality was associated with air pollution Exposure in a citywide model and in intra-urban zones with lower socioeconomic characteristics.
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Nitrogen dioxide prediction in Southern California using land use regression modeling: potential for environmental health analyses
Zev Ross,Paul English,Rusty Scalf,Robert B. Gunier,Svetlana Smorodinsky,Steve Wall,Michael Jerrett +6 more
TL;DR: Evaluation of this land use regression model showed that this method had excellent prediction and robustness in a North American context and may be useful tools in evaluating health effects of long-term exposure to traffic-related pollution.
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Creating national air pollution models for population exposure assessment in Canada.
Perry Hystad,Eleanor Setton,Alejandro Cervantes,Karla Poplawski,Steeve Deschenes,Michael Brauer,Aaron van Donkelaar,Lok N. Lamsal,Randall V. Martin,Michael Jerrett,Paul A. Demers +10 more
TL;DR: Applying national models to routinely collected population location data can extend land use modeling techniques to population exposure assessment and to informing surveillance, policy, and regulation.