Comparison of emergency department and hospital admissions data for air pollution time-series studies

Autor: Winquist A, Klein M, Tolbert P, Flanders WD, Hess J, Sarnat SE

Publikováno v: Environmental Health, Vol 11, Iss 1, p 70 (2012)

Abstract Background Emergency department (ED) visit and hospital admissions (HA) data have been an indispensible resource for assessing acute morbidity impacts of air pollution. ED visits and HAs are types of health care visits with similarities, but

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INTEGRATIVE STATISTICAL METHODS FOR EXPOSURE MIXTURES AND HEALTH.

Autor: Reich BJ; Department of Statistics, North Carolina State University., Guan Y; Department of Statistics, University of Nebraska., Fourches D; Department of Chemistry, North Carolina State University., Warren JL; Department of Biostatistics, Yale University., Sarnat SE; Department of Environmental Health, Emory University., Chang HH; Department of Biostatistics and Bioinformatics, Emory University.

Publikováno v: The annals of applied statistics [Ann Appl Stat] 2020 Dec; Vol. 14 (4), pp. 1945-1963. Date of Electronic Publication: 2020 Dec 19.

Near-road Vehicle Emissions Air Quality Monitoring for Exposure Modeling.

Autor: Moutinho JL; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA., Liang D; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA., Golan R; Department of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel., Sarnat SE; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA., Weber R; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA., Sarnat JA; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA., Russell AG; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA.

Publikováno v: Atmospheric environment (Oxford, England : 1994) [Atmos Environ (1994)] 2020 Mar 01; Vol. 224. Date of Electronic Publication: 2020 Jan 31.

On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies.

Autor: Yu X; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA., Stuart AL; College of Public Health, University of South Florida, Tampa, FL, USA; Department of Civil & Environmental Engineering, University of South Florida, Tampa, FL, USA., Liu Y; Department of Environmental Health, Emory University, Atlanta, GA, USA., Ivey CE; Department of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, USA., Russell AG; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA., Kan H; School of Public Health, Fudan University, Shanghai, China., Henneman LRF; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA., Sarnat SE; Department of Environmental Health, Emory University, Atlanta, GA, USA., Hasan S; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA., Sadmani A; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA., Yang X; Institute of Island & Coastal Ecosystem, Zhejiang University, Hangzhou, Zhejiang, China., Yu H; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA. Electronic address: haofei.yu@ucf.edu.

Publikováno v: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2019 Sep; Vol. 252 (Pt A), pp. 924-930. Date of Electronic Publication: 2019 May 25.