ArticleNew microbes and new infections2025
Epidemiological characteristics of pediatric respiratory pathogens and their association with climate in Wuxi, Chongqing, China.
Article in New microbes and new infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
4 citing papers in PubMed.
- Reconstructing the post-pandemic landscape: a retrospective, hospital-based surveillance of respiratory pathogens in hospitalized children in Chenzhou, China, 2021-2025.BMC infectious diseases · 2026Article
- Article
- Inflammatory Mediation of the Association Between Latent Clinical Phenotypes and Multidimensional Outcomes in Pediatric Community-Acquired Pneumonia.Journal of inflammation research · 2026Article
- The pathogen spectrum of influenza-like illness in Guilin, China, 2023-2024.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acute respiratory infections impose a disproportionate burden on pediatric populations, yet climate-pathogen interactions remain poorly characterized in rural China. Methods: We conducted a retrospective analysis of 7627 nasopharyngeal samples from children (<18 years) presenting with ARI symptoms at Wuxi People's Hospital (April 2023-March 2025). Six major pathogens--respiratory syncytial virus (RSV), influenza A/B (IAV/IBV), human rhinovirus (HRV), adenovirus (HAdV), and Mycoplasma pneumoniae (MP)--were detected by quantitative PCR. The association between meteorological factors and pathogen prevalence was examined. Results: HRV (22.18 %), IAV (18.54 %), and RSV (16.56 %) were the most prevalent pathogens, with RSV and HAdV showing higher hospitalization rates. Male children were more susceptible to all pathogens, particularly RSV (p = 0.024). Age-specific distributions revealed RSV dominance in infants (28 days-1 year) and toddlers (1-3 years), HRV and HAdV in preschoolers (3-6 years), and IAV and MP in school-aged children (6-18 years). Seasonal trends included year-round HRV and HAdV circulation, winter peaks for IAV and RSV, and an unexpected summer MP surge (26.88 % in June 2024). RSV exhibited an initial epidemic in 2023 (peak positivity: 52.27 % in April) with resurgence in October 2024. Climate analysis revealed temperature-dependent transmission: IAV/IBV correlated with colder temperatures. Notably, MP displayed atypical summer predominance in 2024, peaking at 26.88 % in June (25.2 °C, 77.3 % humidity). Conclusion: This study characterizes the epidemiological and climatic drivers of pediatric ARIs in Wuxi, China, underscoring pathogen-specific age distributions, seasonal anomalies, and climate interactions. The findings emphasize the need for sustained surveillance to monitor emerging respiratory threats and inform targeted interventions.
Indexed as
Identifiers
What OpenQuestion holds
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.