Evidence map›Paper›PMID 34871471›Full record

ArticleTransboundary and emerging diseases2022

Detection of African swine fever virus utilizing the portable MatMaCorp ASF detection system.

Mariceny Zurita, Lauren Martignette, Jose Barrera, Michael Carrie, Heather Piscatelli, Alyssa Hangman, David Brake, John Neilan, Dustin Petrik, Michael Puckette

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 8 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

10 authors at 3 institutions in 1 country.

Mariceny ZuritaSAIC (formerly with Leidos), Plum Island Animal Disease Center, Greenport, New York.
Lauren MartignetteSAIC (formerly with Leidos), Plum Island Animal Disease Center, Greenport, New York.
Jose BarreraSAIC (formerly with Leidos), Plum Island Animal Disease Center, Greenport, New York.
Michael CarrieMatMaCorp, Lincoln, Nebraska.
Heather PiscatelliMatMaCorp, Lincoln, Nebraska.
Alyssa HangmanMatMaCorp, Lincoln, Nebraska.
David BrakeBioQuest Associates, LLC, Plum Island Animal Disease Center, Greenport, New York.
John NeilanUS Department of Homeland Security Science and Technology Directorate, Plum Island Animal Disease Center, Greenport, New York.ORCID https://orcid.org/0000-0003-0360-5040
Dustin PetrikMatMaCorp, Lincoln, Nebraska.
Michael PucketteUS Department of Homeland Security Science and Technology Directorate, Plum Island Animal Disease Center, Greenport, New York.ORCID https://orcid.org/0000-0001-9634-9001
University of Nebraska–Lincoln · USLeidos (United States) · USPlum Island Animal Disease Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) has emerged as a major threat to domestic and wild suid populations, and its continued spread threatens commercial swine production worldwide. The causative agent of ASF, African swine fever virus (ASFV), possesses a linear, double stranded DNA genome. Traditional detection of ASFV relies on laboratory-based virus isolation or real-time PCR of samples, typically blood or spleen, obtained from suspect cases. While effective, these methodologies are not easily field deployable, a major limitation during disease outbreak and response management scenarios. In this report, we evaluated the MatMaCorp Solas 8

Indexed as

African Swine FeverAfrican Swine Fever VirusSwine DiseasesAnimalsDisease OutbreaksReal-Time Polymerase Chain ReactionSwineAfrican swine feveramplificationdetectionfood safetySolas 8tissues

Identifiers

PMID34871471
PMCPMC9786863
OpenAlexW4200410881

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.