Evidence map›Paper›PMID 39747001›Full record

ArticleNature communications2025

Substantially underestimated global health risks of current ozone pollution.

Yuan Wang, Yuanjian Yang, Qiangqiang Yuan, Tongwen Li, Yi Zhou, Lian Zong, Mengya Wang, Zunyi Xie, Hung Chak Ho, Meng Gao and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Review
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  15. Divergent trends and regional disparities in PMFrontiers in public health · 2025
    Article
  16. 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

13 authors.

Yuan Wang *School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.ORCID 0009-0001-9022-0802
Yuanjian Yang *School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.ORCID 0000-0003-3486-6286
Qiangqiang YuanSchool of Geodesy and Geomatics, Wuhan University, Wuhan, China. qqyuan@sgg.whu.edu.cn.ORCID 0000-0001-7140-2224
Tongwen LiSchool of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China.
Yi ZhouSchool of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.ORCID 0000-0003-1844-178X
Lian ZongSchool of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.
Mengya WangSchool of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.
Zunyi XieCollege of Geography and Environmental Science, Henan University, Kaifeng, China.
Hung Chak HoDepartment of Public and International Affairs, The City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6505-3504
Meng GaoDepartment of Geography, Hong Kong Baptist University, Hong Kong, China.ORCID 0000-0002-7323-1630
Shilu TongSchool of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.ORCID 0000-0001-9579-6889
Simone LolliCNR-IMAA, Contrada S, Loja, Italy.
Liangpei ZhangThe State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China. zlp62@whu.edu.cn.ORCID 0009-0005-4894-2552

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42175098National Natural Science Foundation of China (National Science Foundation of China) 42222503National Natural Science Foundation of China (National Science Foundation of China) 42471414
6 · The paper itself

Abstract

Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving a mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% of the global population is exposed to excess ozone for short term (> 30 days per year), and 94.2% suffers from long-term exposure. Furthermore, severe ozone exposure levels are observed in Cropland areas, particularly over Asia. Importantly, the all-cause ozone-attributable deaths significantly surpass previous recognition from specific diseases worldwide. Notably, mid-latitude Asia (30°N) and the western United States show high mortality burden, contributing substantially to global ozone-attributable deaths. Our study highlights current significant global ozone-related health risks and may benefit the ozone-exposed population in the future.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureGlobal HealthOzoneAsiaHumansRisk AssessmentAir PollutantsOzone

Identifiers

PMID39747001
PMCPMC11696706

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.