The detection dogs test is more sensitive than real-time PCR in screening for SARS-CoV-2.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
03 06 2021
Historique:
received: 12 11 2020
accepted: 23 04 2021
entrez: 4 6 2021
pubmed: 5 6 2021
medline: 17 6 2021
Statut: epublish

Résumé

In January 2020, the coronavirus disease was declared, by the World Health Organization as a global public health emergency. Recommendations from the WHO COVID Emergency Committee continue to support strengthening COVID surveillance systems, including timely access to effective diagnostics. Questions were raised about the validity of considering the RT-PCR as the gold standard in COVID-19 diagnosis. It has been suggested that a variety of methods should be used to evaluate advocated tests. Dogs had been successfully trained and employed to detect diseases in humans. Here we show that upon training explosives detection dogs on sniffing COVID-19 odor in patients' sweat, those dogs were able to successfully screen out 3249 individuals who tested negative for the SARS-CoV-2, from a cohort of 3290 individuals. Additionally, using Bayesian analysis, the sensitivity of the K9 test was found to be superior to the RT-PCR test performed on nasal swabs from a cohort of 3134 persons. Given its high sensitivity, short turn-around-time, low cost, less invasiveness, and ease of application, the detection dogs test lends itself as a better alternative to the RT-PCR in screening for SARS-CoV-2 in asymptomatic individuals.

Identifiants

pubmed: 34083749
doi: 10.1038/s42003-021-02232-9
pii: 10.1038/s42003-021-02232-9
pmc: PMC8175360
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

686

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Auteurs

Mohammed Hag-Ali (M)

Higher Colleges of Technology, Abu Dhabi, United Arab Emirates. hagali@hotmail.com.

Abdul Salam AlShamsi (AS)

Federal Customs Authority, Abu Dhabi, United Arab Emirates.

Linda Boeijen (L)

DiagNose Netherlands B.V. and Four Winds K9 Solutions LLC UAE, Abu Dhabi, United Arab Emirates.

Yasser Mahmmod (Y)

Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.
Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt.

Rashid Manzoor (R)

Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.

Harry Rutten (H)

DiagNose Netherlands B.V. and Four Winds K9 Solutions LLC UAE, Abu Dhabi, United Arab Emirates.

Marshal M Mweu (MM)

School of Public Health, College of Health Sciences, University of Nairobi, Nairobi, Kenya.

Mohamed El-Tholoth (M)

Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.
Department of Virology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt.

Abdullatif Alteraifi AlShamsi (AA)

Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.

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