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Abstract
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.
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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1 Jinan University, Institute for Environmental and Climate Research, Guangzhou, China (GRID:grid.258164.c) (ISNI:0000 0004 1790 3548); Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, China (GRID:grid.258164.c); Jinan University, JNU-QUT Joint Laboratory for Air Quality Science and Management, Guangzhou, China (GRID:grid.258164.c) (ISNI:0000 0004 1790 3548)
2 National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, China (GRID:grid.508400.9)
3 Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Nature Resources Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
4 Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Department of Epidemiology, Cancer Prevention Center, Guangzhou, China (GRID:grid.488530.2) (ISNI:0000 0004 1803 6191)
5 Wagga Wagga Agricultural Institute, NSW Department of Primary Industries, Wagga Wagga, Australia (GRID:grid.1680.f) (ISNI:0000 0004 0559 5189); University of New South Wales, Climate Change Research Centre, Sydney, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432)
6 Southern Medical University, State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Guangzhou, China (GRID:grid.284723.8) (ISNI:0000 0000 8877 7471)
7 Chinese Center for Disease Control and Prevention, State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Beijing, China (GRID:grid.198530.6) (ISNI:0000 0000 8803 2373)
8 Shanghai Jiao Tong University, Shanghai Children’s Medical Center, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); Anhui Medical University, School of Public Health and Institute of Environment and Population Health, Hefei, China (GRID:grid.186775.a) (ISNI:0000 0000 9490 772X); Queensland University of Technology, School of Public Health and Institute of Health and Biomedical Innovation, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000000089150953)
9 Monash University, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857)