Health
Dogs trained to sniff COVID infections did so with a 94% accuracy rate in a recent study
A recent study found that dogs trained to sniff coronavirus infections did so with 94% accuracy, and researchers found that this method would soon prevent future outbreaks in large gatherings. I hope it can be implemented.
In InvestigationResearchers published by the BMC Infectious Diseases and led by the Hannover Veterinary University have found eight German “detection dogs” for a week to detect human salivation of SARS-CoV-2 in infected patients. Trained
We then presented the detected dogs with a randomized sample of 1,012 to test whether they could distinguish between infected (positive) and uninfected (negative) samples.
In the end, dogs were surprisingly identifiable with an “overall detection rate of 94%” and were “correct 157 positive signs, 792 correct rejection negative, 30 false signs negative false rejection of 30 positive sample presentations.” Was given.
According to PBS, dogs have odor receptors in between 10,000 and 100,000 times It is stronger than humans. That means you can detect a teaspoon of sugar in one million gallons of water, or two million barrels of rotten apples.
Visually, what a human can see in a third mile is that a dog can see clearly more than 3,000 miles away.
Reported by CNBC To prevent further spread of the virus, researchers hope that detection dogs can someday be used in large gatherings, such as public areas such as airports or sporting events.
In a YouTube video about the study, university researcher and professor Maren von Koeckritz-Blickwede states that dogs were able to successfully detect the sample because the metabolic process of the infected person was “completely altered.” ..
“We think dogs can detect the specific smell of metabolic changes that occur in those patients,” she said.
Researchers say the next step will be to train dogs to distinguish coronavirus samples from other infectious diseases like influenza.
Diagnosis by dog nose – dogs can sniff patients with COVID-19
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