Evidence map›Paper›PMID 34377952›Full record

ArticleTranslational animal science2021

Using environmental sampling to evaluate the effectiveness of decontamination methods to reduce detection of porcine epidemic diarrhea virus RNA on feed manufacturing surfaces.

Mary B Muckey, Cassandra K Jones, Jason C Woodworth, Chad B Paulk, Steve S Dritz, Jordan T Gebhardt

Open access · goldAbstract read
In one paragraph

Article in Translational animal science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 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

6 authors at 1 institution in 1 country.

Mary B MuckeyDepartment of Grain Science and Industry, College of Agriculture, Kansas State University, Manhattan KS 66506, USA.
Cassandra K JonesDepartment of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan KS 66506, USA.ORCID https://orcid.org/0000-0002-0671-8879
Jason C WoodworthDepartment of Animal Sciences and Industry, College of Agriculture, Kansas State University, Manhattan KS 66506, USA.
Chad B PaulkDepartment of Grain Science and Industry, College of Agriculture, Kansas State University, Manhattan KS 66506, USA.
Steve S DritzDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA.ORCID https://orcid.org/0000-0001-6371-0729
Jordan T GebhardtDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA.ORCID https://orcid.org/0000-0002-6144-6714
Kansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine epidemic diarrhea virus (PEDV) is a possible biological hazard in feed mills. If the virus enters a feed mill, it becomes widely distributed and is difficult to decontaminate from both feed contact and non-feed contact surfaces. The objective of this study was to evaluate a variety of liquid and dry decontamination treatments that could be used to reduce the amount of PEDV found on feed manufacturing surfaces. This experiment was designed as a 5 × 10 factorial with five different feed manufacturing surfaces and 10 decontamination treatments with three replicates of each combination. Surfaces included stainless steel, solid polyethylene, woven polypropylene tote bag, rubber, and sealed concrete coupons. One mL (1×10

Indexed as

decontaminationporcine epidemic diarrhea virussurfaceswinevirus

Identifiers

PMID34377952
PMCPMC8346718
OpenAlexW3186120579

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.