Evidence map›Paper›PMID 37069608›Full record

ArticleEmerging infectious diseases2023

Evolution of Avian Influenza Virus (H3) with Spillover into Humans, China.

Jiaying Yang, Ye Zhang, Lei Yang, Xiyan Li, Hong Bo, Jia Liu, Min Tan, Wenfei Zhu, Yuelong Shu, Dayan Wang

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  10. Epidemiological Investigation and Characterization of Avian Influenza AAnimals : an open access journal from MDPI · 2025
    Article
  11. Article
  12. Article
  13. Landscape changes elevate the risk of avian influenza virus diversification and emergence in the East Asian-Australasian Flyway.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A Rapid Detection Method for H3 Avian Influenza Viruses Based on RT-RAA.Animals : an open access journal from MDPI · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jiaying Yang
Ye Zhang
Lei Yang
Xiyan Li
Hong Bo
Jia Liu
Min Tan
Wenfei Zhu
Yuelong Shu
Dayan Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuous evolution of avian influenza viruses (AIVs) of subtype H3 in China and the emergence of human infection with AIV subtype H3N8 highlight their threat to public health. Through surveillance in poultry-associated environments during 2009-2022, we isolated and sequenced 188 H3 AIVs across China. Performing large-scale sequence analysis with publicly available data, we identified 4 sublineages of H3 AIVs established in domestic ducks in China via multiple introductions from wild birds from Eurasia. Using full-genome analysis, we identified 126 distinct genotypes, of which the H3N2 G23 genotype predominated recently. H3N8 G25 viruses, which spilled over from birds to humans, might have been generated by reassortment between H3N2 G23, wild bird H3N8, and poultry H9N2 before February 2021. Mammal-adapted and drug-resistance substitutions occasionally occurred in H3 AIVs. Ongoing surveillance for H3 AIVs and risk assessment are imperative for potential pandemic preparedness.

Indexed as

Influenza A Virus, H3N8 SubtypeInfluenza A Virus, H9N2 SubtypeInfluenza in BirdsAnimalsBirdsChinaGenome, ViralHumansInfluenza A Virus, H3N2 SubtypeMammalsPhylogenyPoultryAvian influenza virusChinagenotypeH3humansinfluenzareassortmentsurveillanceviruses

Identifiers

PMID37069608
PMCPMC10202863

What OpenQuestion holds

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Registered trials

None linked

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.