ArticleJournal of translational medicine2025
Epidemiological characteristics of influenza A virus infection across age groups: a longitudinal analysis based on gender and clinical diagnosis.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Article
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
Abstract
backgroundRespiratory infections, particularly those caused by influenza A virus (IAV), represent a major global health concern, contributing to substantial morbidity, mortality, and economic burden on healthcare systems worldwide.
methodsWe conducted a retrospective cohort study of 21,191 patient records in Chongqing, spanning a five-year surveillance period. Logistic and Poisson regression analyses were performed to characterize IAV prevalence across age-stratified, gender-specific, and clinically defined subgroups. In addition, restricted cubic spline (RCS) models were applied to examine the nonlinear effects of meteorological factors on IAV transmission.
resultsThe overall IAV positivity rate was 13.79%, with marked differences across demographic subgroups. Preschool children (ages 4-6) showed the strongest association with IAV infection (OR = 6.25, 95% CI: 4.98-7.85; RR = 5.14, 95% CI: 4.13-6.41; both P < 0.001), followed by school-aged children (ages 7-18; OR = 5.60, 95% CI: 4.45-7.06; RR = 4.70, 95% CI: 3.76-5.88; both P < 0.001). Following the relaxation of COVID-19 restrictions, IAV positivity rebounded to 21.66% in 2023, with epidemic peaks observed in March-April and November-March. Four distinct epidemic waves were identified during the 2020-2024 surveillance period. RCS models revealed significant nonlinear associations between IAV prevalence and mean temperature, temperature variation, and mean relative humidity (all P for overall and nonlinear < 0.05). The highest positivity rates occurred at mean temperatures of 7.16-16.80 °C, temperature differences > 10.92 °C, and relative humidity levels of 61.91-74.00% (all P < 0.05). Furthermore, IAV infection was significantly more common in female patients compared with male patients (14.79% vs. 12.57%), and among patients with upper respiratory tract infections compared with those with lower respiratory tract infections (15.84% vs. 11.42%).
conclusionsThese findings highlight the importance of targeted public health interventions and sustained surveillance to reduce the burden of IAV-related respiratory infections and improve patient outcomes.
Indexed as
Identifiers
What Socratic 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 Socratic graph.