ArticleVirology journal2026
Comparative and predictive analysis of avian influenza in live bird markets of the Poyang Lake region: a long-term monitoring study.
Article in Virology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundThe live bird markets in the core area of the migratory bird migration base (Poyang Lake) are monitored for long-term avian influenza. The spatial and temporal patterns of avian influenza were analysed, along with the impact of the COVID-19 pandemic and vaccination.
methodsReal-time reverse transcription polymerase chain reaction was used to test samples for general positivity of type A influenza and to detect H5, H7, and H9 subtypes to differentiate between various subtypes. The Cochran-Armitage test was applied to analyse trends in avian influenza changes, while STL and rwdrift models were used for seasonal analysis and predicting future positivity rates.
resultsA total of 2,421 avian influenza samples were collected, with a positivity rate of 75.1%. The quarterly positivity rates were all greater than 70%. Since 2016, the overall avian influenza positivity rate in urban core areas has consistently been higher than that in county seats, showing an upward trend. Among the samples, the cutting board samples had the highest positivity rate (86.7%), whereas the faecal samples had the lowest positivity rate (67.8%). The overall positivity rate of avian influenza in the post-COVID-19 period (83.0%) was significantly higher than that in the pre-COVID-19 period (65.7%). Following vaccination, the positivity rate of the H7 subtype of avian influenza virus dropped from 10.4% to 0.
conclusionsAvian influenza positivity rate in the core areas of Poyang Lake is among the highest nationwide and exhibits seasonal patterns (higher in winter and spring). The cutting board samples had the highest positivity rate, highlighting the importance of timely cleaning of cutting boards to control the spread of avian influenza. After the COVID-19 pandemic, the avian influenza positivity rate increased significantly, with a particularly notable rise in the H5 subtype, which aligns with the global trend of increased H5 prevalence. After vaccination, the H7 subtype completely disappeared, but the impact on the H5 subtype was minimal. The predictive results indicate that avian influenza in this region will continue to rise and remain at high levels. We recommend strengthening avian influenza monitoring in this area and promptly implementing disinfection and cleaning measures in market environments to prevent future outbreaks.
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.