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On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies.
Yu, Xiaonan; Stuart, Amy L; Liu, Yang; Ivey, Cesunica E; Russell, Armistead G; Kan, Haidong; Henneman, Lucas R F; Sarnat, Stefanie Ebelt; Hasan, Samiul; Sadmani, Anwar; Yang, Xuchao; Yu, Haofei.
  • 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.
Environ Pollut ; 252(Pt A): 924-930, 2019 Sep.
Article en En | MEDLINE | ID: mdl-31226517

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Dinámica Poblacional / Contaminantes Atmosféricos / Contaminación del Aire / Exposición a Riesgos Ambientales / Material Particulado Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Dinámica Poblacional / Contaminantes Atmosféricos / Contaminación del Aire / Exposición a Riesgos Ambientales / Material Particulado Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Año: 2019 Tipo del documento: Article