Evidence map›Paper›PMID 42112462›Full record

ArticleFrontiers in cellular and infection microbiology2026

Analysis of pathogenic characteristics of acute respiratory tract infections in children and the influence of environmental factors in Shijiazhuang area.

Shangze Liu, Guangyue Han, Caixiao Jiang, Minghao Geng, Wentao Wu, Nana Guo, Xu Han, Yan Li, Qi Li

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Article in Frontiers in cellular and infection microbiology, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shangze LiuSchool of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China.
Guangyue HanHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Caixiao JiangHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Minghao GengHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Wentao WuHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Nana GuoHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Xu HanHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Yan LiHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Qi LiSchool of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the epidemiological patterns of acute respiratory infections (ARI) in children (0-14 years) in Shijiazhuang and the impact of meteorological factors. Methods: Fourteen respiratory pathogens were detected by fluorescent PCR melting curve analysis. LASSO regression screened environmental factors; generalized additive model (GAM) analyzed nonlinear associations between meteorological conditions and ARI incidence; distributed lag nonlinear model (DLNM) explored lagged/cumulative effects of meteorological factors and pollutants. Pathogen distribution differences were tested by χ² or Fisher's exact test. Results: A total of 1,961 ARI cases were included, with an overall pathogen positivity rate of 78.23%. Positivity rates differed significantly by age, season, and case classification (all P < 0.05), being highest in 3-6-year-olds, summer, and outpatient/emergency cases. Single infections (59.19%) were dominant; SP and Hi were prone to mixed infections, EV to quadruple+ infections. Pathogen spectrum varied by age and season. Time-series analysis showed seasonal ARI peaks in winter. DLNM revealed nonlinear associations between all environmental factors and ARI: O Conclusion: High pathogen detection rate was observed in 2024-2025. ARI had distinct age/season patterns, with winter peaks. Low/high temperature, low humidity, and high SO

Indexed as

Respiratory Tract InfectionsAdolescentChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornMaleMeteorological ConceptsSeasonsacute respiratory tract infectionDLNMmeteorological factorsmultiple pathogenspopular characteristics

Identifiers

PMID42112462
PMCPMC13153046

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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.