Evidence map›Paper›PMID 33589602›Full record

ArticleNature communications2021

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

Jun Yang, Maigeng Zhou, Zhoupeng Ren, Mengmeng Li, Boguang Wang, De Li Liu, Chun-Quan Ou, Peng Yin, Jimin Sun, Shilu Tong and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jun Yang *Institute for Environmental and Climate Research, Jinan University, Guangzhou, China. yangjun_eci@jnu.edu.cn.ORCID http://orcid.org/0000-0002-8049-4746
Maigeng Zhou *National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, China.
Zhoupeng Ren *State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-1766-2820
Mengmeng LiState Key Laboratory of Oncology in Southern China, Department of Epidemiology, Cancer Prevention Center, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Boguang WangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, China.
De Li LiuNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia.ORCID http://orcid.org/0000-0003-2574-1908
Chun-Quan OuState Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.
Peng YinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, China.
Jimin SunState 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, Chinese Center for Disease Control and Prevention, Beijing, China.
Shilu TongShanghai Children's Medical Center, Shanghai Jiao Tong University, Shanghai, China.
Hao WangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, China.
Chunlin ZhangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, China.
Jinfeng WangState Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-6687-9420
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID http://orcid.org/0000-0002-1766-6592
Qiyong LiuState 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, Chinese Center for Disease Control and Prevention, Beijing, China. liuqiyong@icdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Models, StatisticalAdolescentAdultAgedCardiovascular DiseasesChildChild, PreschoolChinaClimate ChangeComputer SimulationEducational StatusFemaleHot TemperatureHumansInfantInfant, Newborn

Identifiers

PMID33589602
PMCPMC7884743

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.