Evidence map›Paper›PMID 35618317›Full record

ArticleJournal of veterinary science2022

Impact of inland waters on highly pathogenic avian influenza outbreaks in neighboring poultry farms in South Korea.

Saleem Ahmad, Kyeyoung Koh, Daesung Yoo, Gukhyun Suh, Jaeil Lee, Chang-Min Lee

Abstract read
In one paragraph

Article in Journal of veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

6 authors.

Saleem Ahmad *Veterinary Public Health Lab, College of Veterinary Medicine, Chonnam National University, Gwangju 61216, Korea.ORCID https://orcid.org/0000-0002-8812-2875
Kyeyoung Koh *Veterinary Public Health Lab, College of Veterinary Medicine, Chonnam National University, Gwangju 61216, Korea.ORCID https://orcid.org/0000-0002-3488-3062
Daesung YooAnimal and Plant Quarantine Agency, Gimcheon 39660, Korea.ORCID https://orcid.org/0000-0002-9765-0880
Gukhyun SuhDepartment of Veterinary Internal Medicine, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0003-0910-3340
Jaeil LeeVeterinary Public Health Lab, College of Veterinary Medicine, Chonnam National University, Gwangju 61216, Korea.ORCID https://orcid.org/0000-0003-0236-3297
Chang-Min LeeDepartment of Veterinary Internal Medicine, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea. cmlee1122@jnu.ac.kr.ORCID https://orcid.org/0000-0002-7867-1053

Funding

Ministry of Agriculture, Food and Rural Affairs 1545026102
6 · The paper itself

Abstract

backgroundSince 2003, the H5 highly pathogenic avian influenza (HPAI) subtype has caused massive economic losses in the poultry industry in South Korea. The role of inland water bodies in avian influenza (AI) outbreaks has not been investigated. Identifying water bodies that facilitate risk pathways leading to the incursion of the HPAI virus (HPAIV) into poultry farms is essential for implementing specific precautionary measures to prevent viral transmission.

objectivesThis matched case-control study (1:4) examined whether inland waters were associated with a higher risk of AI outbreaks in the neighboring poultry farms.

methodsRivers, irrigation canals, lakes, and ponds were considered inland water bodies. The cases and controls were chosen based on the matching criteria. The nearest possible farms located within a radius of 3 km of the case farms were chosen as the control farms. The poultry farms were selected randomly, and two HPAI epidemics (H5N8 [2014-2016] and H5N6 [2016-2017]) were studied. Conditional logistic regression analysis was applied.

resultsStatistical analysis revealed that inland waters near poultry farms were significant risk factors for AI outbreaks. The study speculated that freely wandering wild waterfowl and small animals contaminate areas surrounding poultry farms.

conclusionsPet birds and animals raised alongside poultry birds on farm premises may wander easily to nearby waters, potentially increasing the risk of AI infection in poultry farms. Mechanical transmission of the AI virus occurs when poultry farm workers or visitors come into contact with infected water bodies or their surroundings. To prevent AI outbreaks in the future, poultry farms should adopt strict precautions to avoid contact with nearby water bodies and their surroundings.

Indexed as

Influenza A virusInfluenza in BirdsAnimalsCase-Control StudiesDisease OutbreaksFarmsPoultryRepublic of KoreaWaterWateranimalsbirdsInfluenza A virusoutbreaksrisk factors

Identifiers

PMID35618317
PMCPMC9149499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.