Evidence map›Paper›PMID 41012798›Full record

ReviewVeterinary sciences2025

Cases of Interspecies Transmission of Influenza A Virus from Swine to Humans.

Nailya Klivleyeva, Tatyana Glebova, Nurbol Saktaganov, Richard Webby

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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  8. 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

4 authors.

Nailya KlivleyevaThe Research and Production Center for Microbiology and Virology, Almaty 050010, Kazakhstan.ORCID 0000-0002-4094-137X
Tatyana GlebovaThe Research and Production Center for Microbiology and Virology, Almaty 050010, Kazakhstan.ORCID 0000-0002-1139-9868
Nurbol SaktaganovThe Research and Production Center for Microbiology and Virology, Almaty 050010, Kazakhstan.ORCID 0000-0001-6526-956X
Richard WebbyDepartment of Infectious Disease, St. Jude Children's Research Hospital, Memphis, TN 38105-3678, USA.ORCID 0000-0002-4397-7132

Funding

The Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan AP23487141
6 · The paper itself

Abstract

Influenza A viruses infect many animal species and have great zoonotic potential. The epidemiology of swine influenza worldwide is of particular importance because the pig can act as a "mixing vessel" where avian and human influenza viruses can undergo genetic reassortment, creating new viruses. Zoonotic transmission allows new strains of influenza A viruses to be introduced into the human population, potentially causing the next influenza pandemic. The dynamic nature of swine influenza viruses poses challenges to both the swine industry and public health as a source of zoonotic infection. Human infections with swine influenza viruses are regularly reported. Many of these zoonotic events have occurred through close contact between humans and pigs, particularly at agricultural fairs, which have become a source of emerging of swine-origin influenza A viruses. These unique pig-human interfaces have caused the majority of human infections with variant influenza A viruses. In this review, we examine zoonotic spread of influenza A viruses of swine origin, transmission of influenza viruses from pigs to humans worldwide, and the reasons for the emergence of zoonoses.

Indexed as

epizootologyinfluenza virusesreassortmentswine influenzatransmissionzoonotic infection

Identifiers

PMID41012798
PMCPMC12474402

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.