Evidence map›Paper›PMID 41857573›Full record

ArticleBMC infectious diseases2026

The effect of air pollution on the risk of hospitalization for H1N1 influenza based on GAM and DLNM models.

Hua Zhou, Yanbin Du, Yingjian Zhu, Yang Chen

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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hua ZhouEndocrinology and Metabolism Center, Henan Key Laboratory of Rare Diseases, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, 471003, China.
Yanbin DuCollege of Mathematics and Statistics, Henan University of Science and Technology, 263 Kaiyuan Avenue, Luolong District, Luoyang City, Henan Province, 471000, China. 643607619@qq.com.ORCID http://orcid.org/0000-0001-9149-5157
Yingjian ZhuHenan Academy of Innovations in Medical Science, Zhengzhou, Henan Province, 450007, China.
Yang ChenHenan Academy of Innovations in Medical Science, Zhengzhou, Henan Province, 450007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rapid advancement of industrialization and urbanization, air pollution is becoming increasingly serious, posing a huge threat to human health. There is ambiguity in the research on the impact of air pollutants on the severity of influenza. Therefore, exploring the link between air pollution and the risk of hospitalization for Influenza A (H1N1) is of great significance.

methodsA 9-year time series data was collected from Luoyang from 2014 to 2022 to investigate the impact of air pollutants (PM2.5, PM10, SO2, NO2, O3, and CO) on the risk of hospitalization for H1N1 influenza. Generalized additive model (GAM) and Distributed Lag Nonlinear Model(DLNM) based on Poisson regression were established and population stratification analysis was used to explore the differences in the population by gender, age, place of residence, and season.

resultsThere were 363,339 hospital admissions for H1N1 influenza in Luoyang from January 1, 2014 to November 4th, 2022. Among them, there are 199,800 female (54.99%), 163,539 male(45.01%); There are different lag effects of six air pollutants on the hospitalization of patients with H1N1 influenza, and patients showed a non-linear increasing trend with the increase of pollutants concentration. For every 10 µg/m3 increase in PM2.5, PM10, O3 and SO2 concentrations (1 mg/m3 increase in CO), the excess risk (ER) in hospitalizations increased by 0.532% (95% CI: 0.400% -0.663%), 1.039% (95% CI: 0.897% -1.181%), 1.025% (95% CI: 0.758% -1.292%), 1.982% (95% CI: 0.48% -3.506%) and 4.815% (95% CI: 3.480% -6.168%), respectively. The stratified analysis results show that male, age < 18 years old, and urban populations may be more sensitive to pollutants, especially in Summer.

conclusionsThis time-series study suggests that short-term exposure to air pollution may increase the risk of hospitalization for H1N1 influenza. As the concentration of pollutants increases, the risk of hospitalization for H1N1 influenza exhibit a non-linear increasing trend. These findings have important implications for policymakers to take concrete actions to reduce atmospheric pollution concentrations and protect the environment.

Indexed as

Air PollutantsAir PollutionHospitalizationInfluenza A Virus, H1N1 SubtypeInfluenza, HumanAdolescentAdultChildChild, PreschoolChinaFemaleHumansInfantMaleMiddle AgedParticulate MatterAir PollutantsParticulate MatterAir pollutionDLNMEnvironmental healthGAMH1N1 influenza

Identifiers

PMID41857573
PMCPMC13122946

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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.