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Environmental Health Perspectives|March 5, 2025
Ultrafine Particle Mobile Monitoring Study Designs for Epidemiology: Cost and Performance ComparisonsSun-Young Kim, Amanda J Gassett, Magali N Blanco, et al.
The Science of the Total Environment|March 14, 2024
Integrating traffic pollution dispersion into spatiotemporal NO2 predictionYunhan Wu, Jianzhao Bi, Amanda J Gassett, et al.
Environmental Epidemiology (Philadelphia, Pa.)|October 28, 2024
Association between fine particulate matter (PM2.5) and infant mortality in a North Carolina birth cohort (2003-2015)Sonya M Jampel, Joel Kaufman, Daniel A Enquobahrie, et al.
Environmental Health Perspectives|July 5, 2023
Exposure Disparities by Income, Race and Ethnicity, and Historic Redlining Grade in the Greater Seattle Area for Ultrafine Particles and Other Air PollutantsKaya Bramble, Magali N Blanco, Annie Doubleday, et al.
Environmental Pollution (Barking, Essex : 1987)|December 26, 2023
Evaluating low-cost monitoring designs for PM2.5 exposure assessment with a spatiotemporal modeling approachJianzhao Bi, Dustin Burnham, Christopher Zuidema, et al.
Journal of the American Heart Association|August 8, 2015
Risk Factors for Long-Term Coronary Artery Calcium Progression in the Multi-Ethnic Study of AtherosclerosisAmanda J Gassett, Lianne Sheppard, Robyn L McClelland, et al.
Environmental Research|November 22, 2025
Long-term air pollution exposure and gait speed decline among older Adults: A longitudinal analysisBoeun Kim, Anjum Hajat, Amanda J Gassett, et al.
Environment International|November 30, 2019
Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological studyMarina Zusman, Cooper S Schumacher, Amanda J Gassett, et al.
Journal of Exposure Science & Environmental Epidemiology|April 8, 2024
Leveraging low-cost sensors to predict nitrogen dioxide for epidemiologic exposure assessmentChristopher Zuidema, Jianzhao Bi, Dustin Burnham, et al.
Environment International|October 3, 2021
Publicly available low-cost sensor measurements for PM2.5 exposure modeling: Guidance for monitor deployment and data selectionJianzhao Bi, Nancy Carmona, Magali N Blanco, et al.
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