Evidence map›Paper›PMID 40193182›Full record

ArticleEnvironmental health perspectives2025

Estimating Heat-Related Mortality Burden Changes under Type-Specific Green and Blue Space Scenarios in China.

Kejia Hu, Shiyi Wang, Fangrong Fei, Jingqiao Fu, Yujie Shen, Feng Chen, Yunquan Zhang, Jian Cheng, Xuchao Yang, Jieming Zhong and 2 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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

12 authors.

Kejia HuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-1175-3580
Shiyi WangCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Fangrong FeiZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Jingqiao FuOcean College, Zhejiang University, Zhoushan, China.
Yujie ShenCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Feng ChenZhejiang Institute of Meteorological Sciences, Hangzhou, China.
Yunquan ZhangSchool of Public Health, Wuhan University of Science and Technology, Wuhan, China.
Jian ChengDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.
Xuchao YangOcean College, Zhejiang University, Zhoushan, China.
Jieming ZhongZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yuming GuoDepartment of Epidemiology and Preventive Medicine and Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Jiayu WuCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGreen and blue spaces (GBS) are assumed to mitigate heat-induced health risks. However, few studies have explored the impact of type-specific GBS changes on heat-related mortality burden.

objectivesThis study aimed to investigate the effect modifications of different GBS types on heat-related mortality risks, and to estimate the changes in mortality burden in multiple GBS scenarios.

methodsA case time-series study design was utilized based on the daily data on all-cause mortality and temperatures from 2009 to 2020 in 1,085 subdistricts in China. Mortality count data were obtained from the Zhejiang Center for Disease Control and Prevention. Meteorological data on temperature and relative humidity were acquired from the Zhejiang Meteorological Bureau. GBS exposure was assessed by integrating fine-scale population density, GBS boundary from Baidu and OpenStreetMap, and street-view image data from Baidu. Conditional Poisson regression analyses were conducted with the distributed lag nonlinear model, incorporating modifiers of type-specific GBS exposure. Changes in heat-attributable mortality under different GBS scenarios were also assessed.

resultsHeat-related mortality risks were lower for populations with high exposure (95%) than for those with low exposure (5%) DISCUSSION: Our study revealed differences in the capacity of various GBS types to mitigate heat-related mortality risks. While the protective effects of GBS may be moderate, targeted planning strategies should prioritize their implementation for maximum benefits in mitigating heat-related health risks. The continuous shrinkage of the GBS would render other efforts futile, such as heat-health action plans. https://doi.org/10.1289/EHP14014.

Indexed as

Environmental ExposureHot TemperatureMortalityChinaHumans

Identifiers

PMID40193182
PMCPMC12097534

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.