Evidence map›Paper›PMID 42239540›Full record

ArticleFrontiers in cellular and infection microbiology2026

Epidemiological trends and climate-driven dynamics of children respiratory infections in Lanzhou, China: a multi-pathogen time-series analysis.

Biao Wang, Hui Zhang, Shu Liang, Huan Wei, Lianmei Zhang, Miao Wang, Huimin Zhang, Xiaoshu Zhang, Maoxing Dong

Abstract read
In one paragraph

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

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

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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.

Biao Wang *Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Hui Zhang *Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Shu LiangGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Huan WeiGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Lianmei ZhangMicrobiology Laboratory, Lanzhou Center for Disease Control and Prevention, Lanzhou, China.
Miao WangGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Huimin ZhangGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Xiaoshu ZhangGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Maoxing DongGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The COVID-19 pandemic significantly affected the transmission of respiratory pathogens worldwide. This study aimed to describe the epidemiological characteristics of respiratory infections among children in Lanzhou, China, during the post-pandemic period and to investigate how meteorological factors influence the transmission of respiratory pathogens in the Lanzhou region. Methods: During the study period, 42.5% of children tested positive for respiratory pathogens (32.8% single, 9.7% mixed infections). Predominant pathogens were influenza virus (IFV, 12.3%), adenovirus (HAdV, 8.2%), rhinovirus (RV, 7.5%), and respiratory syncytial virus (RSV, 6.7%). RSV and IFV peaked in infants <1 year (14.1% and 13.5%), while Mycoplasma pneumoniae (MP) was highest in school-aged children (8.5%). Mixed infections increased with age (2.8% to 11.6%), with no sex differences. Seasonal patterns varied: IFV peaked in winter (26.9%), enteroviruses in summer (18.9%), and RSV showed bimodal winter-spring distribution. IFV negatively correlated with temperature (r = -0.50) and positively with atmospheric pressure (r = 0.37). RSV negatively correlated with temperature (r = -0.49), while MP positively correlated with humidity and pressure.Nonlinear lag modeling showed immediate meteorological effects (0-week lag). IFV showed elevated risk under extreme low temperatures and high pressure (RR: 10.395 and 18.597), though wide confidence intervals warrant caution. HAdV and MP risks increased similarly. Conversely, HPIV and RV showed protective associations at low temperatures or high wind speeds. Wind speed appeared protective against most pathogens, but this observational finding requires interventional validation. Conclusion: Pediatric respiratory pathogen prevalence in Lanzhou exhibited distinct age-dependent and seasonal characteristics, with pathogen-specific meteorological associations. Detection risks for IFV, RSV, HAdV, and MP increased with low temperatures and high pressure, while RV and HPIV showed opposite patterns. The protective wind speed effect suggests ventilation improvements may reduce transmission risk, though this hypothesis-generating conclusion requires further validation. These findings inform age-stratified, seasonally-adapted prevention strategies and meteorological early warning systems.

Indexed as

ClimateRespiratory Tract InfectionsAdolescentChildChild, PreschoolChinaCoinfectionFemaleHumansInfantInfant, NewbornMaleSeasonsTemperatureVirus Diseaseschildrenclimate sensitivity monitoringdistribution lag nonlinear modelepidemiologymeteorological factorsrespiratory infections

Identifiers

PMID42239540
PMCPMC13226183

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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.