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Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies

de Hoogh, Kees and Korek, Michal and Vienneau, Danielle and Keuken, Menno and Kukkonen, Jaakko and Nieuwenhuijsen, Mark J. and Badaloni, Chiara and Beelen, Rob and Bolignano, Andrea and Cesaroni, Giulia and Pradas, Marta Cirach and Cyrys, Josef and Douros, John and Eeftens, Marloes and Forastiere, Francesco and Forsberg, Bertil and Fuks, Kateryna and Gehring, Ulrike and Gryparis, Alexandros and Gulliver, John and Hansell, Anna L. and Hoffmann, Barbara and Johansson, Christer and Jonkers, Sander and Kangas, Leena and Katsouyanni, Klea and Künzli, Nino and Lanki, Timo and Memmesheimer, Michael and Moussiopoulos, Nicolas and Modig, Lars and Pershagen, Göran and Probst-Hensch, Nicole and Schindler, Christian and Schikowski, Tamara and Sugiri, Dorothee and Teixidó, Oriol and Tsai, Ming-Yi and Yli-Tuomi, Tarja and Brunekreef, Bert and Hoek, Gerard and Bellander, Tom. (2014) Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies. Environment international : a journal of environmental science, risk and health, 73. pp. 382-392.

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Official URL: http://edoc.unibas.ch/dok/A6298965

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Abstract

Land-use regression (LUR) and dispersion models (DM) are commonly used for estimating individual air pollution exposure in population studies. Few comparisons have however been made of the performance of these methods.; Within the European Study of Cohorts for Air Pollution Effects (ESCAPE) we explored the differences between LUR and DM estimates for NO2, PM10 and PM2.5.; The ESCAPE study developed LUR models for outdoor air pollution levels based on a harmonised monitoring campaign. In thirteen ESCAPE study areas we further applied dispersion models. We compared LUR and DM estimates at the residential addresses of participants in 13 cohorts for NO2; 7 for PM10 and 4 for PM2.5. Additionally, we compared the DM estimates with measured concentrations at the 20-40 ESCAPE monitoring sites in each area.; The median Pearson R (range) correlation coefficients between LUR and DM estimates for the annual average concentrations of NO2, PM10 and PM2.5 were 0.75 (0.19-0.89), 0.39 (0.23-0.66) and 0.29 (0.22-0.81) for 112,971 (13 study areas), 69,591 (7) and 28,519 (4) addresses respectively. The median Pearson R correlation coefficients (range) between DM estimates and ESCAPE measurements were of 0.74 (0.09-0.86) for NO2; 0.58 (0.36-0.88) for PM10 and 0.58 (0.39-0.66) for PM2.5.; LUR and dispersion model estimates correlated on average well for NO2 but only moderately for PM10 and PM2.5, with large variability across areas. DM predicted a moderate to large proportion of the measured variation for NO2 but less for PM10 and PM2.5.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Air Pollution and Health (Künzli)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Air Pollution and Health (Künzli)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Biostatistics - Frequency Modelling (Schindler)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Environmental Exposures and Health > Physical Hazards and Health (Röösli)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Former Units within Swiss TPH > Exposure Science (Tsai)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Former Units within Swiss TPH > Physical Activity and Health (Kriemler)
UniBasel Contributors:Eeftens, Marloes and Künzli, Nino and Probst Hensch, Nicole and Schindler, Christian and Schikowski, Tamara and Tsai, Ming
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Elsevier
ISSN:0160-4120
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:12 Sep 2018 14:09
Deposited On:10 Oct 2014 09:19

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