Evidence map›Paper›PMID 34383843›Full record

ArticlePloS one2021

Evaluating the distribution of African swine fever virus within a feed mill environment following manufacture of inoculated feed.

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

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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.

C Grace ElijahDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.ORCID 0000-0001-8113-1616
Jessie D TrujilloDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.
Cassandra K JonesDepartment of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, United States of America.
Natasha N GaudreaultDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.
Charles R StarkDepartment of Grain Science and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, United States of America.
Konner R CoolDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.
Chad B PaulkDepartment of Grain Science and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, United States of America.
Taeyong KwonDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.
Jason C WoodworthDepartment of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan, Kansas, United States of America.
Igor MorozovDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.
Carmina GallardoInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Animal Health Research Centre, Madrid, Madrid, Spain.
Jordan T GebhardtDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.ORCID 0000-0002-6144-6714
Jürgen A RichtDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, United States of America.
Kansas State University · USInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria · ES

Funding

Renovation of LARS for Arctic Ground Squirrel BreedingP20GM130443 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI Kriya L Dunlap · 2019 to 2026
$16.4M
Sex-specific effects of obestity on Influenza A virus infection and immunityP20GM130448 · NIGMS · KANSAS STATE UNIVERSITY · PI Jakob Trimpert · 2020 to 2026
$15.8M
NIGMS NIH HHS P20 GM130443NIGMS NIH HHS P20 GM130448
6 · The paper itself

Abstract

It is critical to understand the role feed manufacturing may have regarding potential African swine fever virus (ASFV) transmission, especially given the evidence that feed and/or ingredients may be potential vectors. The objective of the study was to evaluate the distribution of ASFV in a feed mill following manufacture of contaminated feed. To accomplish this, a pilot-scale feed mill consisting of a mixer, bucket elevator, and spouting was constructed in a BSL-3Ag facility. First, a batch of ASFV-free feed was manufactured, followed by a batch of feed that had an ASFV-contaminated ingredient added to feed, which was then mixed and discharged from the equipment. Subsequently, four additional ASFV-free batches of feed were manufactured using the same equipment. Environmental swabs from 18 locations within the BSL-3Ag room were collected after each batch of feed was discharged. The locations of the swabs were categorized into four zones: 1) feed contact surface, 2) non-feed contact surface < 1 meter away from feed, 3) non-feed contact surface > 1 meter from feed, and 4) transient surfaces. Environmental swabs were analyzed using a qPCR specific for the ASFV p72 gene and reported as genomic copy number (CN)/mL of environmental swab processing buffer. Genomic copies were transformed with a log10 function for statistical analysis. There was no evidence of a zone × batch interaction for log10 genomic CN/mL (P = 0.625) or cycle threshold (Ct) value (P = 0.608). Sampling zone impacted the log10 p72 genomic CN/mL (P < 0.0001) and Ct values (P < 0.0001), with a greater amount of viral genome detected on transient surfaces compared to other surfaces (P < 0.05). This study illustrates that once ASFV enters the feed mill environment it becomes widespread and movement of people can significantly contribute to the spread of ASFV in a feed mill environment.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimal FeedAnimalsDietDNA, ViralGenome, ViralSwineSwine DiseasesDNA, Viral

Identifiers

PMID34383843
PMCPMC8360541
OpenAlexW3192445407

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.