Imperial College London

Dr Laure de Preux

Business School

Assistant Professor
 
 
 
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Contact

 

+44 (0)20 7594 9349l.depreux

 
 
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Location

 

486City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{de:2023:10.3390/ijerph20053852,
author = {de, Preux L and Rizmie, D and Fecht, D and Gulliver, J and Wang, W},
doi = {10.3390/ijerph20053852},
journal = {International Journal of Environmental Research and Public Health},
pages = {1--26},
title = {Does it measure up? A comparison of pollution exposure assessment techniques applied across hospitals in England},
url = {http://dx.doi.org/10.3390/ijerph20053852},
volume = {20},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Weighted averages of air pollution measurements from monitoring stations are commonly assigned as air pollution exposures to specific locations. However, monitoring networks are spatially sparse and fail to adequately capture the spatial variability. This may introduce bias and exposure misclassification. Advanced methods of exposure assessment are rarely practicable in estimating daily concentrations over large geographical areas. We propose an accessible method using temporally adjusted land use regression models (daily LUR). We applied this to produce daily concentration estimates for nitrogen dioxide, ozone, and particulate matter in a healthcare setting across England and compared them against geographically extrapolated measurements (inverse distance weighting) from air pollution monitors. The daily LUR estimates outperformed IDW. The precision gains varied across air pollutants, suggesting that, for nitrogen dioxide and particulate matter, the health effects may be underestimated. The results emphasised the importance of spatial heterogeneity in investigating the societal impacts of air pollution, illustrating improvements achievable at a lower computational cost.
AU - de,Preux L
AU - Rizmie,D
AU - Fecht,D
AU - Gulliver,J
AU - Wang,W
DO - 10.3390/ijerph20053852
EP - 26
PY - 2023///
SN - 1660-4601
SP - 1
TI - Does it measure up? A comparison of pollution exposure assessment techniques applied across hospitals in England
T2 - International Journal of Environmental Research and Public Health
UR - http://dx.doi.org/10.3390/ijerph20053852
UR - https://www.mdpi.com/1660-4601/20/5/3852
UR - http://hdl.handle.net/10044/1/102993
VL - 20
ER -