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Projecting heat-related excess mortality under climate change scenarios in China

Recent studies have reported a variety of health consequences of climate change. However, the vulnerability of individuals and cities to climate change remains to be evaluated. We project the excess cause-, age-, region-, and education-specific mortality attributable to future high temperatures in 1...

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Autores principales: Yang, Jun, Zhou, Maigeng, Ren, Zhoupeng, Li, Mengmeng, Wang, Boguang, Liu, De Li, Ou, Chun-Quan, Yin, Peng, Sun, Jimin, Tong, Shilu, Wang, Hao, Zhang, Chunlin, Wang, Jinfeng, Guo, Yuming, Liu, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884743/
https://www.ncbi.nlm.nih.gov/pubmed/33589602
http://dx.doi.org/10.1038/s41467-021-21305-1
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author Yang, Jun
Zhou, Maigeng
Ren, Zhoupeng
Li, Mengmeng
Wang, Boguang
Liu, De Li
Ou, Chun-Quan
Yin, Peng
Sun, Jimin
Tong, Shilu
Wang, Hao
Zhang, Chunlin
Wang, Jinfeng
Guo, Yuming
Liu, Qiyong
author_facet Yang, Jun
Zhou, Maigeng
Ren, Zhoupeng
Li, Mengmeng
Wang, Boguang
Liu, De Li
Ou, Chun-Quan
Yin, Peng
Sun, Jimin
Tong, Shilu
Wang, Hao
Zhang, Chunlin
Wang, Jinfeng
Guo, Yuming
Liu, Qiyong
author_sort Yang, Jun
collection PubMed
description Recent studies have reported a variety of health consequences of climate change. However, the vulnerability of individuals and cities to climate change remains to be evaluated. We project the excess cause-, age-, region-, and education-specific mortality attributable to future high temperatures in 161 Chinese districts/counties using 28 global climate models (GCMs) under two representative concentration pathways (RCPs). To assess the influence of population ageing on the projection of future heat-related mortality, we further project the age-specific effect estimates under five shared socioeconomic pathways (SSPs). Heat-related excess mortality is projected to increase from 1.9% (95% eCI: 0.2–3.3%) in the 2010s to 2.4% (0.4–4.1%) in the 2030 s and 5.5% (0.5–9.9%) in the 2090 s under RCP8.5, with corresponding relative changes of 0.5% (0.0–1.2%) and 3.6% (−0.5–7.5%). The projected slopes are steeper in southern, eastern, central and northern China. People with cardiorespiratory diseases, females, the elderly and those with low educational attainment could be more affected. Population ageing amplifies future heat-related excess deaths 2.3- to 5.8-fold under different SSPs, particularly for the northeast region. Our findings can help guide public health responses to ameliorate the risk of climate change.
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spelling pubmed-78847432021-02-25 Projecting heat-related excess mortality under climate change scenarios in China Yang, Jun Zhou, Maigeng Ren, Zhoupeng Li, Mengmeng Wang, Boguang Liu, De Li Ou, Chun-Quan Yin, Peng Sun, Jimin Tong, Shilu Wang, Hao Zhang, Chunlin Wang, Jinfeng Guo, Yuming Liu, Qiyong Nat Commun Article Recent studies have reported a variety of health consequences of climate change. However, the vulnerability of individuals and cities to climate change remains to be evaluated. We project the excess cause-, age-, region-, and education-specific mortality attributable to future high temperatures in 161 Chinese districts/counties using 28 global climate models (GCMs) under two representative concentration pathways (RCPs). To assess the influence of population ageing on the projection of future heat-related mortality, we further project the age-specific effect estimates under five shared socioeconomic pathways (SSPs). Heat-related excess mortality is projected to increase from 1.9% (95% eCI: 0.2–3.3%) in the 2010s to 2.4% (0.4–4.1%) in the 2030 s and 5.5% (0.5–9.9%) in the 2090 s under RCP8.5, with corresponding relative changes of 0.5% (0.0–1.2%) and 3.6% (−0.5–7.5%). The projected slopes are steeper in southern, eastern, central and northern China. People with cardiorespiratory diseases, females, the elderly and those with low educational attainment could be more affected. Population ageing amplifies future heat-related excess deaths 2.3- to 5.8-fold under different SSPs, particularly for the northeast region. Our findings can help guide public health responses to ameliorate the risk of climate change. Nature Publishing Group UK 2021-02-15 /pmc/articles/PMC7884743/ /pubmed/33589602 http://dx.doi.org/10.1038/s41467-021-21305-1 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yang, Jun
Zhou, Maigeng
Ren, Zhoupeng
Li, Mengmeng
Wang, Boguang
Liu, De Li
Ou, Chun-Quan
Yin, Peng
Sun, Jimin
Tong, Shilu
Wang, Hao
Zhang, Chunlin
Wang, Jinfeng
Guo, Yuming
Liu, Qiyong
Projecting heat-related excess mortality under climate change scenarios in China
title Projecting heat-related excess mortality under climate change scenarios in China
title_full Projecting heat-related excess mortality under climate change scenarios in China
title_fullStr Projecting heat-related excess mortality under climate change scenarios in China
title_full_unstemmed Projecting heat-related excess mortality under climate change scenarios in China
title_short Projecting heat-related excess mortality under climate change scenarios in China
title_sort projecting heat-related excess mortality under climate change scenarios in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884743/
https://www.ncbi.nlm.nih.gov/pubmed/33589602
http://dx.doi.org/10.1038/s41467-021-21305-1
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