Your browser doesn't support javascript.
loading
Assessment of children's personal and land use regression model-estimated exposure to NO2 in Springfield, Massachusetts.
Gao, Dong; Esenther, Sarah; Minet, Laura; De Jesus, Alexander; Hudson, Sarita; Leaderer, Brian; Hatzopoulou, Marianne; Godri Pollitt, Krystal J.
Afiliación
  • Gao D; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
  • Esenther S; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States.
  • Minet L; Department of Civil Engineering, Faculty of Engineering and Computer Science, University of Victoria, Victoria, Canada.
  • De Jesus A; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States; Public Health Institute of Western Massachusetts, Springfield, MA, United States.
  • Hudson S; Public Health Institute of Western Massachusetts, Springfield, MA, United States.
  • Leaderer B; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States; Yale Center for Perinatal, Pediatric, and Environmental Epidemiology, Yale School of Public Health, New Haven, CT, United States.
  • Hatzopoulou M; Department of Civil and Mineral Engineering, School of Engineering and Applied Science, University of Toronto, Toronto, Canada.
  • Godri Pollitt KJ; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States; Yale Center for Perinatal, Pediatric, and Environmental Epidemiology, Yale School of Public Health, New Haven, CT, United States. Electronic address: krystal.pollitt@yale.edu.
Sci Total Environ ; 892: 164681, 2023 Sep 20.
Article en En | MEDLINE | ID: mdl-37302586

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies Límite: Child / Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Prognostic_studies Límite: Child / Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Total Environ Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos