ArticlePeerJ2025
Analysis of epidemic trend of respiratory pathogens in children after long-term pathogen isolation.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Rapid progression from croup to complete lung collapse: a case report of central airway obstruction by mucopurulent cast in influenza A (H3N2) and Pseudomonas aeruginosa coinfection in a toddler.Frontiers in pediatrics · 2026Article
- Analysis of bacterial pathogen spectrum and epidemiological characteristics of pediatric lower respiratory tract infections: a large sample study based on bronchoalveolar lavage.BMC infectious diseases · 2025Article
- Trend ofIJID regions · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: China implemented strict prevention and control measures during the COVID-19 pandemic, leading to prolonged home confinement of children and significantly reduced exposure to respiratory pathogens. The ability of children under these conditions to resist respiratory pathogens post-lifting of containment measures remained unknown. The children's ability to face respiratory pathogens post-isolation was assessed through collecting respiratory pathogens detection data, statistical analysis and comparing with pre-epidemic data. In this way, we addressed data gaps in related fields and provided empirical support for research and public health sectors. Methods: The pathogen detection method was real-time polymerase chain reaction (PCR). Data analysis software: SPSS Statistics 23. Results: Four environmental factors-temperature, humidity, wind speed and sunshine time-exerted interactive effects ton respiratory pathogens prevalence. Influenza A and B viruses,
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Registered trials
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.