Evidence map›Paper›PMID 29774857›Full record

ArticleEmerging infectious diseases2018

Influenza D Virus Infection in Feral Swine Populations, United States.

Lucas Ferguson, Kaijian Luo, Alicia K Olivier, Fred L Cunningham, Sherry Blackmon, Katie Hanson-Dorr, Hailiang Sun, John Baroch, Mark W Lutman, Bianca Quade and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 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

14 authors at 1 institution in 2 countries.

Lucas Ferguson
Kaijian Luo
Alicia K Olivier
Fred L Cunningham
Sherry Blackmon
Katie Hanson-Dorr
Hailiang Sun
John Baroch
Mark W Lutman
Bianca Quade
William Epperson
Richard Webby
Thomas J DeLiberto
Xiu-Feng Wan
South China Agricultural University · CN

Funding

Glycan receptors specific for canine influenza infectionR15AI107702 · NIAID · MISSISSIPPI STATE UNIVERSITY · PI WAN, XIUFENG HENRY · 2013 to 2013
$425k
NIAID NIH HHS R15 AI107702
6 · The paper itself

Abstract

Influenza D virus (IDV) has been identified in domestic cattle, swine, camelid, and small ruminant populations across North America, Europe, Asia, South America, and Africa. Our study investigated seroprevalence and transmissibility of IDV in feral swine. During 2012-2013, we evaluated feral swine populations in 4 US states; of 256 swine tested, 57 (19.1%) were IDV seropositive. Among 96 archived influenza A virus-seropositive feral swine samples collected from 16 US states during 2010-2013, 41 (42.7%) were IDV seropositive. Infection studies demonstrated that IDV-inoculated feral swine shed virus 3-5 days postinoculation and seroconverted at 21 days postinoculation; 50% of in-contact naive feral swine shed virus, seroconverted, or both. Immunohistochemical staining showed viral antigen within epithelial cells of the respiratory tract, including trachea, soft palate, and lungs. Our findings suggest that feral swine might serve an important role in the ecology of IDV.

Indexed as

ThogotovirusAnimalsFemaleGenotypeGeography, MedicalHemagglutinationHemagglutination TestsOrthomyxoviridae InfectionsPublic Health SurveillanceSeroepidemiologic StudiesSwineSwine DiseasesUnited StatesViral LoadVirus SheddingZoonosesinfluenza A virusinfluenza D virusOrthomyxoviridaeserologyswine influenzaUnited Statesviruseszoonoses

Identifiers

PMID29774857
PMCPMC6004836
OpenAlexW2802541145

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.