Evidence map›Paper›PMID 37215472›Full record

ArticleFrontiers in veterinary science2023

"Sniffing" out SARS-CoV-2 in Arizona working dogs: an exploratory serosurvey.

Gavriella Hecht, Nathan Sarbo, Wayne Svoboda, Heather L Mead, Irene Ruberto, John A Altin, David M Engelthaler, Heather Venkat, Hayley D Yaglom

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

9 authors at 3 institutions in 1 country.

Gavriella HechtArizona Department of Health Services, Phoenix, AZ, United States.
Nathan SarboTranslational Genomics Research Institute, Flagstaff, AZ, United States.
Wayne SvobodaHayden Road Animal Hospital, Scottsdale, AZ, United States.
Heather L MeadTranslational Genomics Research Institute, Flagstaff, AZ, United States.
Irene RubertoArizona Department of Health Services, Phoenix, AZ, United States.
John A AltinTranslational Genomics Research Institute, Flagstaff, AZ, United States.
David M EngelthalerTranslational Genomics Research Institute, Flagstaff, AZ, United States.
Heather VenkatArizona Department of Health Services, Phoenix, AZ, United States.
Hayley D YaglomTranslational Genomics Research Institute, Flagstaff, AZ, United States.
Translational Genomics Research Institute · USArizona Department of Health Services · USCenters for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Susceptibility to and infection with SARS-CoV-2 in companion animals has been well-documented throughout the COVID-19 pandemic. Surveillance for the virus in dogs has largely been focused on household pets; however, other canine populations may also be impacted. We partnered with a local veterinary hospital with a high working dog patient volume to conduct viral and neutralizing antibody testing in working dogs and identify potential risk factors in the dog's work and home environments. Surveillance of SARS-CoV-2 in law enforcement and security working dogs in Arizona found 24.81% (32/129) of dogs to be seropositive. Thirteen dogs presenting with clinical signs or with reported exposure to COVID-19 in the 30 days prior to sample collection were also tested by PCR; all samples were negative. 90.7% (

Indexed as

detection dogneutralizing antibodiespolice dogSARS-CoV-2surveillanceworking dogs

Identifiers

PMID37215472
PMCPMC10196159
OpenAlexW4377565025

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.