Evidence map›Paper›PMID 41255594›Full record

ArticleChina CDC weekly2025

Reflections on the Evolution of Heat Alert Systems into Heat Health Risk Warning Systems.

Taiyuan Zhang, Yuxin Zeng, Yu Lan, Qinghua Sun, Pengran Qi, Min Li, Tiantian Li

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Taiyuan Zhang *Huafeng Meteorological Media Group, China Meteorological Administration, Beijing, China.
Yuxin Zeng *Queen Mary College, Nanchang University, Nanchang, Jiangxi Province, China.
Yu LanNational Meteorological Center, Beijing, China.
Qinghua SunNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Pengran QiHuafeng Meteorological Media Group, China Meteorological Administration, Beijing, China.
Min LiHuafeng Meteorological Media Group, China Meteorological Administration, Beijing, China.
Tiantian LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequent occurrence of extreme heat events in the context of global warming poses a serious threat to public health. Increasing evidence has highlighted the limitations of China's traditional early heat warning system, including an overemphasis on meteorological factors, the absence of health risk assessments, limited regional adaptability, and a disconnect between observations and public perception. These shortcomings hinder the ability of the system to meet the growing demand for precise health protection warnings and initiatives. Consequently, the development of an early warning system that focuses on the health risks of high temperatures has emerged as a critical strategy for addressing climate change-related health impacts. This study systematically reviews the existing standards and service limitations of heat warning systems in China and analyzes the necessity of advancing research on and applications of health-oriented heat risk warnings. In the future, the broader social scope of such meteorological warning systems is expected to transform them into health risk assessment systems that benefit the entire population.

Indexed as

Heat health risk warningHeat wave responseMeteorological warningPublic health

Identifiers

PMID41255594
PMCPMC12620683

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.