Evidence map›Paper›PMID 34076951›Full record

ArticleTransboundary and emerging diseases2022

Effect of mixing and feed batch sequencing on the prevalence and distribution of African swine fever virus in swine feed.

Catherine Grace Elijah, Jessie D Trujillo, Cassandra K Jones, Taeyong Kwon, Charles R Stark, Konner R Cool, Chad B Paulk, Natasha N Gaudreault, Jason C Woodworth, Igor Morozov and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Transboundary and emerging diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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

13 authors at 2 institutions in 2 countries.

Catherine Grace ElijahDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Jessie D TrujilloDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Cassandra K JonesDepartment of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.ORCID https://orcid.org/0000-0002-0671-8879
Taeyong KwonDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Charles R StarkDepartment of Grain Science and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.
Konner R CoolDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Chad B PaulkDepartment of Grain Science and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.ORCID https://orcid.org/0000-0001-8844-6477
Natasha N GaudreaultDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Jason C WoodworthDepartment of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, USA.
Igor MorozovDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Carmina GallardoAnimal Health Research Centre, Instituto Nacional de Investigación y Technología Agraria y Alimentaria, Madrid, Spain.ORCID https://orcid.org/0000-0003-3293-306X
Jordan T GebhardtDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID https://orcid.org/0000-0002-6144-6714
Jürgen A RichtDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.
Kansas State University · USInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria · ES

Funding

AMP Core of the NIGMS COBRE Center on Emerging and Zoonitic Infectious Diseases (CEZID)Department of Homeland Security Center of Excellence for Emerging and Zoonotic Animal DiseasesNBAF Transition FundsSwine Health Information Center
6 · The paper itself

Abstract

It is critical to have methods that can detect and mitigate the risk of African swine fever virus (ASFV) in potentially contaminated feed or ingredients bound for the United States. The purpose of this work was to evaluate feed batch sequencing as a mitigation technique for ASFV contamination in a feed mill, and to determine if a feed sampling method could identify ASFV following experimental inoculation. Batches of feed were manufactured in a BSL-3Ag room at Kansas State University's Biosafety Research Institute in Manhattan, Kansas. First, the pilot feed manufacturing system mixed, conveyed, and discharged an ASFV-free diet. Next, a diet was manufactured using the same equipment, but contained feed inoculated with ASFV for final concentration of 5.6 × 10

Indexed as

African Swine FeverAfrican Swine Fever VirusSwine DiseasesAnimalsPrevalenceReal-Time Polymerase Chain ReactionSwineAfrican swine fever virusbulk samplingfeed batch sequencingfeed safety

Identifiers

PMID34076951
PMCPMC9291899
OpenAlexW3164320501

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.