Evidence map›Paper›PMID 38103381›Full record

ArticleJournal of the American Veterinary Medical Association2024

SARS-CoV-2 surveillance in a veterinary health system provides insight into transmission risks.

McKenzie N Sparrer, Natasha F Hodges, Izabela Ragan, Tyler Yamashita, Kirsten J Reed, Tyler J Sherman, Treana Mayer, Courtney Maichak, Danielle R Adney, Molly Carpenter and 2 more

Abstract read
In one paragraph

Article in Journal of the American Veterinary Medical Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

McKenzie N Sparrer1Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Natasha F Hodges1Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Izabela Ragan3Department of Biomedical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Tyler Yamashita1Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Kirsten J Reed1Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Tyler J Sherman1Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Treana Mayer1Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Courtney Maichak4Department of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Danielle R Adney5Department of Life Sciences, Lovelace Biomedical, Albuquerque, NM.
Molly Carpenter3Department of Biomedical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Tracy L Webb2Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.
Christie Mayo1Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.

Funding

NRSA Training CoreTL1TR002533 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CICUTTO, LISA · 2018 to 2022
$3.0M
CSU Infectious Disease Research and Response Training ProgramT32AI162691 · NIAID · COLORADO STATE UNIVERSITY · PI DEAN, GREGG A · 2021 to 2025
$2.1M
Veterinary Scholars Summer Research ProgramT35OD015130 · OD · COLORADO STATE UNIVERSITY · PI ZABEL, MARK D · 2012 to 2021
$654k
CDC HHS IA 21FED2100110CK1NCATS NIH HHS TL1 TR002533NIAID NIH HHS T32 AI162691NIH HHS T35 OD015130
6 · The paper itself

Abstract

objectiveTo investigate the prevalence and seropositivity of SARS-CoV-2 in companion and exotic animals in a veterinary healthcare system. SAMPLE: A total of 341 animals were sampled by a combination of oral and nasal swabs. Serum from whole blood was collected from a subset of animals (86 canines, 25 felines, and 6 exotic animals).

methodsAfter informed owner consent, convenience samples from client-owned animals and the pets of students and staff members associated with Colorado State University's Veterinary Health System were collected between May 2021 and September 2022. Study samples were collected by trained veterinarians, Veterinary Health System staff, and veterinary students.

resultsSARS-CoV-2 RNA was detected by reverse transcription PCR in 1.6% (95% CI, 0.5% to 4.6%) of domestic canines and 1.1% (95% CI, 0.2% to 6.1%) of domestic felines. No RNA was detected in any of the exotic animal species tested (n = 66). Plaque reduction neutralization tests indicated that 12.8% (95% CI, 7.3% to 21.5%) of canines and 12.0% (95% CI, 4.2% to 30.0%) of felines had neutralizing antibodies against SARS-CoV-2. CLINICAL RELEVANCE: This study provides insight regarding SARS-CoV-2 spillover in domestic companion and exotic animals and contributes to our understanding of transmission risk in the veterinary setting.

Indexed as

Cat DiseasesCOVID-19Dog DiseasesAnimalsCatsColoradoDogsHealth PersonnelHumansRNA, ViralSARS-CoV-2RNA, Viralanimal healthexotic animalsSARS-CoV-2surveillancezoonotic disease

Identifiers

PMID38103381
PMCPMC11234244

What OpenQuestion holds

Textmetadata
LicenceTDM
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.