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

被引:192
|
作者
Yang, Jun [1 ,2 ,3 ]
Zhou, Maigeng [4 ]
Ren, Zhoupeng [5 ]
Li, Mengmeng [6 ]
Wang, Boguang [1 ,2 ,3 ]
Liu, De Li [7 ,8 ]
Ou, Chun-Quan [9 ]
Yin, Peng [4 ]
Sun, Jimin [10 ]
Tong, Shilu [11 ,12 ,13 ,14 ,15 ]
Wang, Hao [1 ,2 ,3 ]
Zhang, Chunlin [1 ,2 ,3 ]
Wang, Jinfeng [5 ]
Guo, Yuming [16 ]
Liu, Qiyong [10 ]
机构
[1] Jinan Univ, Inst Environm & Climate Res, Guangzhou, Peoples R China
[2] Guangdong Hongkong Macau Joint Lab Collaborat Inn, Guangzhou, Peoples R China
[3] Jinan Univ, JNU QUT Joint Lab Air Qual Sci & Management, Guangzhou, Peoples R China
[4] Natl Ctr Chron & Noncommunicable Dis Control & Pr, Beijing, Peoples R China
[5] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
[6] Sun Yat Sen Univ, Canc Prevent Ctr, Dept Epidemiol, State Key Lab Oncol Southern China,Canc Ctr, Guangzhou, Peoples R China
[7] Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW, Australia
[8] Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia
[9] Southern Med Univ, Sch Publ Hlth, Dept Biostat, Guangdong Prov Key Lab Trop Dis Res,State Key Lab, Guangzhou, Peoples R China
[10] Chinese Ctr Dis Control & Prevent, Collaborat Innovat Ctr Diag & Treatment Infect Di, Natl Inst Communicable Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, Beijing, Peoples R China
[11] Shanghai Jiao Tong Univ, Shanghai Childrens Med Ctr, Shanghai, Peoples R China
[12] Anhui Med Univ, Sch Publ Hlth, Hefei, Peoples R China
[13] Anhui Med Univ, Inst Environm & Populat Hlth, Hefei, Peoples R China
[14] Queensland Univ Technol, Sch Publ Hlth, Brisbane, Qld, Australia
[15] Queensland Univ Technol, Inst Hlth & Biomed Innovat, Brisbane, Qld, Australia
[16] Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic, Australia
基金
中国国家自然科学基金; 英国医学研究理事会;
关键词
TEMPERATURE-RELATED DEATHS; PARTICULATE MATTER; IMPACT; MODEL; METAANALYSIS; DISEASE; SUMMER; BURDEN; CITIES; AREAS;
D O I
10.1038/s41467-021-21305-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 2030s and 5.5% (0.5-9.9%) in the 2090s 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. Global warming is expected to increase mortality due to heat stress in many regions. Here, the authors asses how mortality due to high temperatures changes in China changes for different demographic groups and show that heat-related excess mortality is increasing under climate change, a process that is strongly amplified by population ageing.
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页数:11
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