Assessing Uncertainty in Spatial Exposure Models for Air Pollution Health Effects Assessment

• Published in: Environmental health perspectives Vol. 115; no. 8; pp. 1147 - 1153
• Main Authors: Molitor, John, Jerrett, Michael, Chih-Chieh Chang, Nuoo-Ting Molitor, Gauderman, Jim, Berhane, Kiros, McConnell, Rob, Lurmann, Fred, Wu, Jun, Arthur Winer, Thomas, Duncan
• Format: Journal Article
• Language: English
• Published: United States National Institute of Environmental Health Sciences. National Institutes of Health. Department of Health, Education and Welfare 01.08.2007; National Institute of Environmental Health Sciences
• Subjects: Adolescent; Air Pollutants - analysis; Air Pollutants - toxicity; Air pollution; Air Pollution - adverse effects; Air Pollution - analysis; Air pollution effects; Bayes Theorem; California - epidemiology; Child; Children; Communities; Complications and side effects; Environmental Monitoring - statistics & numerical data; Epidemiological Monitoring; Health aspects; Health benefits; Health risks; Humans; Lung Diseases - epidemiology; Lung Diseases - etiology; Lungs; Modeling; Models, Biological; Musical intervals; Nitrogen dioxide; Nitrogen Dioxide - analysis; Nitrogen Dioxide - toxicity; Parametric models; Respiratory function; Spatial models; Traffic estimation; Uncertainty; Vehicle Emissions - toxicity; Vital Capacity - drug effects; California; United States; USA, California

Background: Although numerous epidemiologic studies now use models of intraurban exposure, there has been little systematic evaluation of the performance of different models. Objectives: In this present article we proposed a modeling framework for assessing exposure model performance and the role of...