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Citation
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HERO ID
4543561
Reference Type
Journal Article
Title
Quantifying population exposure to air pollution using individual mobility patterns inferred from mobile phone data
Author(s)
Nyhan, MM; Kloog, I; Britter, R; Ratti, C; Koutrakis, P
Year
2018
Is Peer Reviewed?
1
Journal
Journal of Exposure Science & Environmental Epidemiology
ISSN:
1559-0631
EISSN:
1559-064X
Volume
29
Issue
2
Page Numbers
238-247
Language
English
PMID
29700403
DOI
10.1038/s41370-018-0038-9
Web of Science Id
WOS:000459048700011
Abstract
A critical question in environmental epidemiology is whether air pollution exposures of large populations can be refined using individual mobile-device-based mobility patterns. Cellular network data has become an essential tool for understanding the movements of human populations. As such, through inferring the daily home and work locations of 407,435 mobile phone users whose positions are determined, we assess exposure to PM2.5. Spatiotemporal PM2.5 concentrations are predicted using an Aerosol Optical Depth- and Land Use Regression-combined model. Air pollution exposures of subjects are assigned considering modeled PM2.5 levels at both their home and work locations. These exposures are then compared to residence-only exposure metric, which does not consider daily mobility. In our study, we demonstrate that individual air pollution exposures can be quantified using mobile device data, for populations of unprecedented size. In examining mean annual PM2.5 exposures determined, bias for the residence-based exposures was 0.91, relative to the exposure metric considering the work location. Thus, we find that ignoring daily mobility potentially contributes to misclassification in health effect estimates. Our framework for understanding population exposure to environmental pollution could play a key role in prospective environmental epidemiological studies.
Tags
•
ISA-PM (2019)
Considered
1st Draft
Chapter 3
In Scope
Exposure
Final ISA
Chapter 3
•
Litsearch – PM ISA Supplement 2021
Pubmed iCite citation search (April 2021 BR)
PM2.5 Cardiovascular and Mortality Epi Search
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