Scent dogs identify SARS-CoV-2-infections in respiratory samples from experimentally infected ferrets and hamsters—a pilot study

Claudia Schulz, Friederike Twele, Sebastian Meller, Nele A. ten Hagen, Veronika Pilchová, Katrin Wirz, Sabrina Clever, Christian Meyer zu Natrup, Asisa Volz, Maren von Köckritz-Blickwede, Holger A. Volk · 2024

Read Scent dogs identify SARS-CoV-2-infections in respiratory samples from experimentally infected ferrets and hamsters—a pilot study by Claudia Schulz, Friederike Twele, Sebastian Meller, Nele A. ten Hagen, Veronika Pilchová, Katrin Wirz, Sabrina Clever, Christian Meyer zu Natrup, Asisa Volz, Maren von Köckritz-Blickwede, Holger A. Volk (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11666280.txt.

Description

Claudia Schulz and co-authors test whether scent dogs can smell COVID-19 in animal samples, in a 2024 pilot study. Dogs already detect infected people quickly by scent. After the pandemic peak, infected human samples for dog training grew scarce. Lab animals like ferrets and hamsters could supply controlled samples instead.

Respiratory samples came from infected humans, hamsters, and ferrets, plus ferrets with a flu virus. An automated device presented samples blind, with no trainer cues. Dogs scored much the same on animal samples as on human ones. Both hit rates and correct rejections stayed high across the tested scenes. Animal models may keep scent dog training supplied for future outbreaks.

Catalog record

CREATORClaudia Schulz, Friederike Twele, Sebastian Meller, Nele A. ten Hagen, Veronika Pilchová, Katrin Wirz, Sabrina Clever, Christian Meyer zu Natrup, Asisa Volz, Maren von Köckritz-Blickwede, Holger A. Volk
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE21 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11666280

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