Using low-cost sensor technologies and advanced computational methods to improve dose estimations in...
Using low-cost sensor technologies and advanced computational methods to improve dose estimations in health panel studies: results of the AIRLESS project
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Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Background
Air pollution epidemiology has primarily relied on fixed outdoor air quality monitoring networks and static populations.
Methods
Taking advantage of recent advancements in sensor technologies and computational techniques, this paper presents a novel methodological approach that improves dose estimations of multiple air pollutant...
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Full title
Using low-cost sensor technologies and advanced computational methods to improve dose estimations in health panel studies: results of the AIRLESS project
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TN_cdi_proquest_journals_2471567066
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2471567066
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ISSN
1559-0631
E-ISSN
1559-064X
DOI
10.1038/s41370-020-0259-6
