TY - CONF
T1 - Estimation of exposure to air pollution in Denmark
T2 - 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019
AU - Khan, Jibran
AU - Poulsen, Maria Bech
AU - Ketzel, Matthias
AU - Ørby, Pia Viuf
AU - Christensen, Jesper Heile
AU - Hansen, Rikke Dalgaard
AU - Sabel, Clive
AU - Hertel, Ole
N1 - Funding Information:
This study was supported by BERTHA ? the Danish Big Data Centre for Environment and Health funded by the Novo Nordisk Foundation Challenge Programme (grant NNF170C0027864).
Funding Information:
This study was supported by BERTHA – the Danish Big Data Centre for Environment and Health funded by the Novo Nordisk Foundation Challenge Programme (grant NNF170C0027864).
Publisher Copyright:
© 2019 Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO. All rights reserved.
Funding Information:
This study was supported by BERTHA – the Danish Big Data Centre for Environment and Health funded by the Novo Nordisk Foundation Challenge Programme (grant NNF170C0027864).
Publisher Copyright:
© 2019 Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Traditionally in air pollution epidemiology, only the air pollution at the address location is considered in assessment of air pollution exposure. Such static approach does not take into account time-activity patterns of individuals, and may lead to a bias in exposure assessments. The present study demonstrates how consideration of time-activity-based information of individuals and space and time variability of air pollutants’ concentrations affect personal exposure using the newly updated Danish AirGIS system. The study provides an overview of presently ongoing work, where new AirGIS is being updated in terms of dynamic exposure assessment to air pollution using measured and modelled data. The focus is on developing a novel dynamic exposure assessment framework to facilitate health-related studies. Our preliminary findings suggest that the exposure estimates based on time-activity patterns of individuals depend on the level of one’s mobility as well as location of workplace relative to home etc. The presentation will provide a summary of results based on model calculations. Measurements are planned to be performed soon.
AB - Traditionally in air pollution epidemiology, only the air pollution at the address location is considered in assessment of air pollution exposure. Such static approach does not take into account time-activity patterns of individuals, and may lead to a bias in exposure assessments. The present study demonstrates how consideration of time-activity-based information of individuals and space and time variability of air pollutants’ concentrations affect personal exposure using the newly updated Danish AirGIS system. The study provides an overview of presently ongoing work, where new AirGIS is being updated in terms of dynamic exposure assessment to air pollution using measured and modelled data. The focus is on developing a novel dynamic exposure assessment framework to facilitate health-related studies. Our preliminary findings suggest that the exposure estimates based on time-activity patterns of individuals depend on the level of one’s mobility as well as location of workplace relative to home etc. The presentation will provide a summary of results based on model calculations. Measurements are planned to be performed soon.
KW - Air pollution
KW - AirGIS
KW - Dynamic exposure assessment
KW - Real-world data
KW - Time-activity patterns
UR - http://www.scopus.com/inward/record.url?scp=85084160849&partnerID=8YFLogxK
UR - https://www.harmo.org/conference.php?id=19
M3 - Paper
AN - SCOPUS:85084160849
SP - 1
EP - 5
Y2 - 3 June 2019 through 6 June 2019
ER -