Evidence map›Paper›PMID 41267757›Full record

ArticleTransboundary and emerging diseases2025

Risk Factors for Introduction of H5N1 Highly Pathogenic Avian Influenza Virus in Japanese Commercial Layer Farms During the 2022-2023 Epidemic: A Case-Control Study.

Sonoko Kondo, Emi Yamaguchi, Yoko Hayama, Takehisa Yamamoto

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Sonoko KondoEpidemiology and Arbovirus Group, Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0009-0004-6929-1181
Emi YamaguchiEpidemiology and Arbovirus Group, Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.
Yoko HayamaEpidemiology and Arbovirus Group, Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0003-4814-0945
Takehisa YamamotoEpidemiology and Arbovirus Group, Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-8707-0639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Japan experienced its largest outbreak of highly pathogenic avian influenza (HPAI) during the 2022-2023 season, with 84 cases on poultry farms and the culling of more than 17 million birds. Commercial layer farms were the most affected, with 58 cases caused by the H5N1 subtype of the HPAI virus. To identify the risk factors and support future outbreak preparedness, a case-control study was conducted. All 58 affected commercial layer farms were designated as case farms, whereas 26 unaffected farms located within a 5 km radius of the case farms served as control farms. Data were collected through structured interviews using a questionnaire for the control farms and from on-site investigation records for the case farms. For control farms, all poultry barns on the premises were included, whereas only the initially affected barns were analyzed in the case farms. Logistic regression using a generalized linear mixed model was performed to evaluate the associations between HPAI outbreaks and explanatory variables related to farm- and barn-level factors, such as farm characteristics, husbandry and hygiene practices, barn structure, and environmental factors, including wildlife presence. Farm location was included as a random effect. The analysis identified a large number of laying hens on the farm (≥100,000 birds) as a potential risk factor. In contrast, changing shoes at the barn entrance and changing shoes or avoiding the use of the back door were identified as potential protective factors. These findings provide evidence-based guidance for strengthening biosecurity measures and improving HPAI prevention strategies on poultry farms in Japan.

Indexed as

ChickensDisease OutbreaksInfluenza A Virus, H5N1 SubtypeInfluenza in BirdsPoultry DiseasesAnimal HusbandryAnimalsCase-Control StudiesEpidemicsFarmsFemaleJapanRisk Factors

Identifiers

PMID41267757
PMCPMC12629688

What OpenQuestion holds

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Registered trials

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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.