Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources

Abstract Urban areas have complex thermal distribution. We examined the association between extreme temperature and mortality in urban Ontario, using two temperature data sources: high-resolution and weather station data. We used distributed lag non-linear Poisson models to examine census division-s...

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Main Authors: Kristin K. Clemens, Alexandra M. Ouédraogo, Lihua Li, James A. Voogt, Jason Gilliland, E. Scott Krayenhoff, Sylvie Leroyer, Salimah Z. Shariff
Format: Article
Language:English
Published: Nature Portfolio 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-87203-0
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author Kristin K. Clemens
Alexandra M. Ouédraogo
Lihua Li
James A. Voogt
Jason Gilliland
E. Scott Krayenhoff
Sylvie Leroyer
Salimah Z. Shariff
author_facet Kristin K. Clemens
Alexandra M. Ouédraogo
Lihua Li
James A. Voogt
Jason Gilliland
E. Scott Krayenhoff
Sylvie Leroyer
Salimah Z. Shariff
author_sort Kristin K. Clemens
collection DOAJ
description Abstract Urban areas have complex thermal distribution. We examined the association between extreme temperature and mortality in urban Ontario, using two temperature data sources: high-resolution and weather station data. We used distributed lag non-linear Poisson models to examine census division-specific temperature–mortality associations between May and September 2005–2012. We used random-effect multivariate meta-analysis to pool results, adjusted for air pollution and temporal trends, and presented risks at the 99th percentile compared to minimum mortality temperature. As additional analyses, we varied knots, examined associations using different temperature metrics (humidex and minimum temperature), and explored relationships using different referent values (most frequent temperature, 75th percentile of temperature distribution). Weather stations yielded lower temperatures across study months. U-shaped associations between temperature and mortality were observed using both high-resolution and weather station data. Temperature–mortality relationships were not statistically significant; however, weather stations yielded estimates with wider confidence intervals. Similar findings were noted in additional analyses. In urban environmental health studies, high-resolution temperature data is ideal where station observations do not fully capture population exposure or where the magnitude of exposure at a local level is important. If focused upon temperature–mortality associations using time series, either source produces similar temperature–mortality relationships.
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spelling doaj.art-b0dc6ca04b1642b99e50d9f5a901351c2022-12-21T21:26:52ZengNature PortfolioScientific Reports2045-23222021-04-0111111110.1038/s41598-021-87203-0Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sourcesKristin K. Clemens0Alexandra M. Ouédraogo1Lihua Li2James A. Voogt3Jason Gilliland4E. Scott Krayenhoff5Sylvie Leroyer6Salimah Z. Shariff7ICESICESICESDepartment of Geography, Western UniversityDepartment of Epidemiology, Western UniversitySchool of Environmental Sciences, University of GuelphMeteorological Research Division, Environment and Climate Change CanadaICESAbstract Urban areas have complex thermal distribution. We examined the association between extreme temperature and mortality in urban Ontario, using two temperature data sources: high-resolution and weather station data. We used distributed lag non-linear Poisson models to examine census division-specific temperature–mortality associations between May and September 2005–2012. We used random-effect multivariate meta-analysis to pool results, adjusted for air pollution and temporal trends, and presented risks at the 99th percentile compared to minimum mortality temperature. As additional analyses, we varied knots, examined associations using different temperature metrics (humidex and minimum temperature), and explored relationships using different referent values (most frequent temperature, 75th percentile of temperature distribution). Weather stations yielded lower temperatures across study months. U-shaped associations between temperature and mortality were observed using both high-resolution and weather station data. Temperature–mortality relationships were not statistically significant; however, weather stations yielded estimates with wider confidence intervals. Similar findings were noted in additional analyses. In urban environmental health studies, high-resolution temperature data is ideal where station observations do not fully capture population exposure or where the magnitude of exposure at a local level is important. If focused upon temperature–mortality associations using time series, either source produces similar temperature–mortality relationships.https://doi.org/10.1038/s41598-021-87203-0
spellingShingle Kristin K. Clemens
Alexandra M. Ouédraogo
Lihua Li
James A. Voogt
Jason Gilliland
E. Scott Krayenhoff
Sylvie Leroyer
Salimah Z. Shariff
Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources
Scientific Reports
title Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources
title_full Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources
title_fullStr Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources
title_full_unstemmed Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources
title_short Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources
title_sort evaluating the association between extreme heat and mortality in urban southwestern ontario using different temperature data sources
url https://doi.org/10.1038/s41598-021-87203-0
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