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Scent dogs can detect COVID-19 more rapidly and accurately than current tests, finds review study

Scent dogs can detect COVID-19 more rapidly and accurately than current tests
(A) Illustration of the three cup sniffing experiment with the first author's Great Pyrenees (photo credit: Todd Dickey). (B) One of the second author's COVID-19 scent dogs sniffing a test canister (photo credit: Heather Junqueira). (C) Flowchart illustrating how volatile organic compounds (VOCs) are sensed and processed by dogs and ENoses (flowchart modified after Karakaya et al., 2020, with permission). Credit: (A) Todd Dickey, (B) Heather Junqueira, (C) Flowchart modified after Karakaya et al. with permission (Karakaya, D, Ulucan, O, Turkan, M. Electronic nose and its applications: a survey. Int J Autom Comput 2020;17:179-209. https//doi:10.1007/s11633-019-1212-9).

Scent dogs may represent a cheaper, faster and more effective way to detect COVID-19, and could be a key tool in future pandemics, a new review of recent research suggests. The review, published in the Journal of Osteopathic Medicine, found that scent dogs are as effective, or even more effective, than conventional COVID-19 tests such as RT-PCR.

Dogs possess up to 300 million olfactory cells, compared to just 5 or 6 million in humans, and use one-third of their brains to process scent information, compared with just 5% for humans. Dogs trained to recognize specific volatile organic compounds created in the body during disease have successfully identified patients with certain cancers, Parkinson's and diabetes.

Prof. Tommy Dickey of the University of California, Santa Barbara and Heather Junqueira of BioScent Detection Dogs reviewed 29 studies where dogs were used to detect COVID-19. The studies were performed using over 31,000 samples by over 400 scientists from more than 30 countries using 19 different dog breeds. In some studies, the scent dogs sniffed people directly, sometimes in as a health screening. In others, the dogs sniffed patient samples such as sweat, saliva or .

In the majority of studies, the scent dogs demonstrated similar or better sensitivity and specificity than the current gold-standard RT-PCR tests or antigen tests. In one study, four of the dogs could detect the equivalent of less than 2.6 x 10−12 copies of viral RNA per milliliter. This is equivalent to detecting one drop of any odorous substance dissolved in ten and a half Olympic-sized swimming pools and is three orders of magnitude better than modern scientific instruments.

The dogs could detect COVID-19 in symptomatic, pre-symptomatic and asymptomatic patients, along with new COVID variants and even long COVID. A major benefit of using the dogs was their speed—they could provide a result in seconds to minutes, and did not require expensive lab equipment or create mountains of plastic waste, unlike conventional diagnostic approaches.

"Although many people have heard about the exceptional abilities of dogs to help humans, their value to the has been considered fascinating, but not ready for real-world ," said Prof. Dickey. "Having conducted this review, we believe that scent dogs deserve their place as a serious diagnostic methodology that could be particularly useful during pandemics, potentially as part of rapid health screenings in public spaces. We are confident that scent dogs will be useful in detecting a wide variety of diseases in the future."

Prof. Dickey and Heather Junqueira added that they feel that the impressive international COVID scent dog research described in their paper, perhaps for the first time, demonstrates that medical are ready for mainstream medical applications.

More information: Tommy Dickey et al, COVID-19 scent dog research highlights and synthesis during the pandemic of December 2019−April 2023, Journal of Osteopathic Medicine (2023). DOI: 10.1515/jom-2023-0104

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Citation: Scent dogs can detect COVID-19 more rapidly and accurately than current tests, finds review study (2023, July 17) retrieved 18 May 2024 from https://medicalxpress.com/news/2023-07-scent-dogs-covid-rapidly-accurately.html
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