Evidence map›Paper›PMID 42094639›Full record

ArticleBMJ public health2026

Interactive and joint effects of multiple meteorological and air pollution exposures on hand, foot and mouth disease risk in western China: a time-series analysis.

Jie Sun, Hui Tang, Gu Jing, Yueqian Wu, Yikun Chang, Jinwei Chen, Wangjian Zhang, Zhicheng Du, Yuantao Hao

Abstract read
In one paragraph

Article in BMJ public health, 2026. 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

9 authors.

Jie SunDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Hui TangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Gu JingDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, China.
Yueqian WuDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Yikun ChangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jinwei ChenDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Wangjian ZhangDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-9655-6385
Zhicheng DuDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-1155-8443
Yuantao HaoPeking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hand, foot and mouth disease (HFMD) is influenced by meteorological and air pollution factors. However, few studies have evaluated their joint and interactive effects under real-world multi-exposure conditions. This study examined the health impacts of environmental mixtures and identified susceptible populations in western China. Methods: A total of 484 928 HFMD cases in children under 6 years old were collected from western China. Bayesian kernel machine regression was used to estimate the effects of simultaneous exposure to temperature, precipitation, shortwave radiation, pressure, fine particulate matter (PM Results: Temperature, precipitation, shortwave radiation, PM Conclusion: This study enhanced understanding of the joint and interactive effects of meteorological and air pollution factors on HFMD risk under real-world conditions and identified vulnerable subgroups, supporting future research and targeted prevention efforts.

Indexed as

Air PollutionEnvironmental ExposureEpidemiological MonitoringRisk Assessment

Identifiers

PMID42094639
PMCPMC13141104

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.