Evidence map›Paper›PMID 41957768›Full record

ArticleBMC public health2026

Estimating PM₂.₅-influenza risk using home-school-commute exposure modeling from hourly monitoring data: schoolchildren in Guangzhou, China, 2014-2019.

Fengrui Jing, Jinjing Hu, Suhong Zhou, Zihan Kan, Guanhao He, Jianxiong Hu, Tao Liu, Meiqi Zhang, Lei Luo, Mengmeng Ma and 4 more

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

14 authors.

Fengrui Jing *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Jinjing Hu *School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China.
Suhong ZhouSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China.
Zihan KanDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, NT, China.
Guanhao HeDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Jianxiong HuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Tao LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Meiqi ZhangGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Lei LuoGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Mengmeng MaGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Ziqiang LinDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Sui ZhuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Yanhui LiuGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China. 84321988@qq.com.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China. mawj@gdiph.org.cn.

Funding

China Postdoctoral Science Foundation General Grant 2024M751122National Natural Science Foundation of China 42501270Project for Key Medicine Discipline Construction of Guangzhou Municipality 2025-2027-11
6 · The paper itself

Abstract

backgroundMany studies assessing urban air-pollution health impacts assign outdoor PM₂.₅ at a single residential address, ignoring children’s daily movements between home and school. This simplification may misclassify exposure and bias short-term risk estimates, potentially misguiding school-area prevention priorities.

methodsUsing 2,543 laboratory-confirmed influenza cases among school-aged children in Guangzhou (2014–2019) and hourly monitoring–derived PM₂.₅ concentration fields, we tested whether mobility-aware exposure assignment changes short-term PM₂.₅–influenza risk estimates. We constructed a residence-based model (RBM) and a multi-context activity-weighted model (MCAWM) that reallocates hourly PM₂.₅ across home, school, and street-network commute corridors using stylized school-day schedules and open-source street networks.

resultsAlthough RBM and MCAWM lag-0 daily PM₂.₅ estimates were highly correlated (r = 0.93), 15.8% of child-days differed by ≥ 10 µg/m³. Per 10 µg/m³, cumulative relative risks were 1.04 (95% CI: 1.02–1.06) for RBM and 1.10 (1.06–1.14) for MCAWM, with improved fit and slightly more persistent lag effects under MCAWM. The concentration-dependent difference in cumulative relative risk between MCAWM and RBM increased above ~ 20 µg/m³, with a breakpoint near 45 µg/m³ indicating more rapid RBM underestimation at higher concentrations. Stratification by school environment revealed the largest mobility gains in high-density, low-greenspace schools. Scenario-based population attributable fractions indicated that, at 50 µg/m³, residence-only exposure would miss roughly 0.20 additional attributable cases per 1,000 children per season.

conclusionsA synthetic “ground-truth” experiment and sensitivity analyses suggest these gains reflect structural reductions in exposure misclassification rather than model tuning. Aligning hourly PM₂.₅ with children’s home–school–commute activity spaces indicates that residence-only assignment tends to attenuate the estimated PM₂.₅–influenza relationship and can understate preventable burden, supporting scalable targeting of school-area interventions such as school greening, near-school traffic management, and lower-exposure commuting corridors.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureEnvironmental MonitoringInfluenza, HumanParticulate MatterSchoolsChildChinaFemaleHumansMaleRisk AssessmentTransportationAir PollutantsParticulate MatterActivity spaceHuman mobilityInfluenzaPM₂.₅ exposureSchool environments

Identifiers

PMID41957768
PMCPMC13192039

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LicenceCC BY-NC-ND
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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.