scholarly journals Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study

2020 ◽  
Vol 4 (11) ◽  
pp. e512-e521
Author(s):  
Whanhee Lee ◽  
Yoonhee Kim ◽  
Francesco Sera ◽  
Antonio Gasparrini ◽  
Rokjin Park ◽  
...  
Eos ◽  
2016 ◽  
Vol 97 ◽  
Author(s):  
Terri Cook

To reduce the uncertainty associated with this important climate change index, recent studies have developed a new diurnal temperature range data set and compared the results to previous estimates.


2013 ◽  
Vol 175 ◽  
pp. 131-136 ◽  
Author(s):  
Jun Yang ◽  
Hua-Zhang Liu ◽  
Chun-Quan Ou ◽  
Guo-Zhen Lin ◽  
Qin Zhou ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jun Yang ◽  
Maigeng Zhou ◽  
Zhoupeng Ren ◽  
Mengmeng Li ◽  
Boguang Wang ◽  
...  

AbstractRecent 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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