Evidence map›Paper›PMID 34746070›Full record

ArticleFrontiers in public health

Canine Olfactory Detection of SARS-COV2-Infected Patients: A One Health Approach.

Rita de Cássia Carvalho Maia, Leucio Câmara Alves, Jeine Emanuele Santos da Silva, François Rémi Czyba, Jorge Antonio Pereira, Vincent Soistier, Clothilde Lecoq Julien, Dominique Grandjean, Anísio Francisco Soares

Abstract read
In one paragraph

Article in Frontiers in public health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

9 authors.

Rita de Cássia Carvalho MaiaVeterinary Medicine Department, Federal Rural University of Pernambuco, Recife, Brazil.
Leucio Câmara AlvesVeterinary Medicine Department, Federal Rural University of Pernambuco, Recife, Brazil.
Jeine Emanuele Santos da SilvaAnimal Morphology and Physiology Department, Federal Rural University of Pernambuco, Recife, Brazil.
François Rémi CzybaAmarante do Brasil, Avenida Erasmo Braga, Rio de Janeiro, Brazil.
Jorge Antonio PereiraAmarante do Brasil, Avenida Erasmo Braga, Rio de Janeiro, Brazil.
Vincent SoistierAmarante do Brasil, Avenida Erasmo Braga, Rio de Janeiro, Brazil.
Clothilde Lecoq JulienNational Veterinary School of Alfort, Maisons Alfort, France.
Dominique GrandjeanNational Veterinary School of Alfort, Maisons Alfort, France.
Anísio Francisco SoaresAnimal Morphology and Physiology Department, Federal Rural University of Pernambuco, Recife, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study is to apply the canine olfactory sensitivity to detect COVID-19-positive axillary sweat samples as a One Health approach in Latin America. One hundred volunteers with COVID-like symptoms were invited to participate, and both axillary sweat samples for dog detection and nasopharynx/oropharynx swabs for qPCR were collected. Two dogs, previously trained, detected 97.4% of the samples positive for COVID-19, including a false-negative qPCR-test, and the positive predictive value was 100% and the negative predictive value was 98.2%. Therefore, we can conclude that canine olfactory sensitivity can detect a person infected with COVID-19 through axillary sweat successfully and could be used as an alternative to screen them without invasive testing.

Indexed as

COVID-19One HealthAnimalsDogsHumansRNA, ViralSARS-CoV-2SmellRNA, ViralaxillarCOVID-19diagnosisdogLatin Americaodorone health

Identifiers

PMID34746070
PMCPMC8570299

What OpenQuestion holds

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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.