Cargando…

The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada

BACKGROUND: The impact of climate change and particularly increasing temperature on mortality has been examined for three cities in the province of Québec, Canada. METHODS: Generalized linear Poisson regression has been fitted to the total daily mortality for each city. Smooth parametric cubic splin...

Descripción completa

Detalles Bibliográficos
Autores principales: Doyon, Bernard, Bélanger, Diane, Gosselin, Pierre
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2410102/
https://www.ncbi.nlm.nih.gov/pubmed/18498630
http://dx.doi.org/10.1186/1476-072X-7-23
_version_ 1782155925462712320
author Doyon, Bernard
Bélanger, Diane
Gosselin, Pierre
author_facet Doyon, Bernard
Bélanger, Diane
Gosselin, Pierre
author_sort Doyon, Bernard
collection PubMed
description BACKGROUND: The impact of climate change and particularly increasing temperature on mortality has been examined for three cities in the province of Québec, Canada. METHODS: Generalized linear Poisson regression has been fitted to the total daily mortality for each city. Smooth parametric cubic splines of temperature and humidity have been used to do nonlinear modeling of these parameters. The model, to control for day of the week and for non-temperature seasonal factors, used a smooth function of time, including delayed effects. The model was then used to assess variation in mortality for simulated future temperatures obtained from an atmospheric General Circulation Model coupled with downscaling regression techniques. Two CO(2 )emission scenarios are considered (scenarios A2 and B2). Projections are made for future periods around year 2020 (2010–2039), 2050 (2040–2069) and 2080 (2070–2099). RESULTS: A significant association between mortality and current temperature has been found for the three cities. Under CO(2 )emission scenarios A2 and B2, the mortality model predicts a significant increase in mortality in the summertime, and a smaller, but significant decrease in the fall season. The slight variations in projected mortality for future winter and spring seasons were found to be not statistically significant. The variations in projected annual mortality are dominated by an increase in mortality in the summer, which is not balanced by the decrease in mortality in the fall and winter seasons. The summer increase and the annual mortality range respectively from about 2% and 0.5% for the 2020 period, to 10% and 3% for the years around 2080. The difference between the mortality variations projected with the A2 or B2 scenarios was not statistically significant. CONCLUSION: For the three cities, the two CO(2 )emission scenarios considered led to an increase in annual mortality, which contrasts with most European countries, where the projected increase in summer mortality with respect to climate change is overbalanced by the decrease in winter mortality. This highlights the importance of place in such analyses. The method proposed here to establish these estimates is general and can also be applied to small cities, where mortality rates are relatively low (ex. two deaths/day).
format Text
id pubmed-2410102
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-24101022008-06-05 The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada Doyon, Bernard Bélanger, Diane Gosselin, Pierre Int J Health Geogr Research BACKGROUND: The impact of climate change and particularly increasing temperature on mortality has been examined for three cities in the province of Québec, Canada. METHODS: Generalized linear Poisson regression has been fitted to the total daily mortality for each city. Smooth parametric cubic splines of temperature and humidity have been used to do nonlinear modeling of these parameters. The model, to control for day of the week and for non-temperature seasonal factors, used a smooth function of time, including delayed effects. The model was then used to assess variation in mortality for simulated future temperatures obtained from an atmospheric General Circulation Model coupled with downscaling regression techniques. Two CO(2 )emission scenarios are considered (scenarios A2 and B2). Projections are made for future periods around year 2020 (2010–2039), 2050 (2040–2069) and 2080 (2070–2099). RESULTS: A significant association between mortality and current temperature has been found for the three cities. Under CO(2 )emission scenarios A2 and B2, the mortality model predicts a significant increase in mortality in the summertime, and a smaller, but significant decrease in the fall season. The slight variations in projected mortality for future winter and spring seasons were found to be not statistically significant. The variations in projected annual mortality are dominated by an increase in mortality in the summer, which is not balanced by the decrease in mortality in the fall and winter seasons. The summer increase and the annual mortality range respectively from about 2% and 0.5% for the 2020 period, to 10% and 3% for the years around 2080. The difference between the mortality variations projected with the A2 or B2 scenarios was not statistically significant. CONCLUSION: For the three cities, the two CO(2 )emission scenarios considered led to an increase in annual mortality, which contrasts with most European countries, where the projected increase in summer mortality with respect to climate change is overbalanced by the decrease in winter mortality. This highlights the importance of place in such analyses. The method proposed here to establish these estimates is general and can also be applied to small cities, where mortality rates are relatively low (ex. two deaths/day). BioMed Central 2008-05-22 /pmc/articles/PMC2410102/ /pubmed/18498630 http://dx.doi.org/10.1186/1476-072X-7-23 Text en Copyright © 2008 Doyon et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Doyon, Bernard
Bélanger, Diane
Gosselin, Pierre
The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada
title The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada
title_full The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada
title_fullStr The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada
title_full_unstemmed The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada
title_short The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada
title_sort potential impact of climate change on annual and seasonal mortality for three cities in québec, canada
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2410102/
https://www.ncbi.nlm.nih.gov/pubmed/18498630
http://dx.doi.org/10.1186/1476-072X-7-23
work_keys_str_mv AT doyonbernard thepotentialimpactofclimatechangeonannualandseasonalmortalityforthreecitiesinquebeccanada
AT belangerdiane thepotentialimpactofclimatechangeonannualandseasonalmortalityforthreecitiesinquebeccanada
AT gosselinpierre thepotentialimpactofclimatechangeonannualandseasonalmortalityforthreecitiesinquebeccanada
AT doyonbernard potentialimpactofclimatechangeonannualandseasonalmortalityforthreecitiesinquebeccanada
AT belangerdiane potentialimpactofclimatechangeonannualandseasonalmortalityforthreecitiesinquebeccanada
AT gosselinpierre potentialimpactofclimatechangeonannualandseasonalmortalityforthreecitiesinquebeccanada