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Title: SARS-CoV-2 detection dogs - a pilot study

Type Dataset Jendrny, Paula, Twele, Friederike, Schulz, Claudia, Meller, Sebastian, von Köckritz-Blickwede, Maren, Volk, Holger Andreas (2020): SARS-CoV-2 detection dogs - a pilot study. Zenodo. Dataset. https://zenodo.org/record/3948092

Authors: Jendrny, Paula (Department of Small Animal Medicine and Surgery, University of Veterinary Medicine, Hannover, Germany) ; Twele, Friederike (Department of Small Animal Medicine and Surgery, University of Veterinary Medicine, Hannover, Germany) ; Schulz, Claudia (Research Center for Emerging Infections and Zoonoses, University of Veterinary Medicine Hannover, Germany) ; Meller, Sebastian (Department of Small Animal Medicine and Surgery, University of Veterinary Medicine, Hannover, Germany) ; von Köckritz-Blickwede, Maren (Research Center for Emerging Infections and Zoonoses and Department of Physiological Chemistry, University of Veterinary Medicine Hannover, Germany) ; Volk, Holger Andreas (Department of Small Animal Medicine and Surgery, University of Veterinary Medicine, Hannover, Germany) ;

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Summary

The outstanding olfactory acuity of canines led us to consider whether dogs are able to reliably detect the odour of respiratory diseases associated with a SARS-CoV-2 infection in saliva or tracheobronchial secretion of hospitalized COVID-19 patients. Furthermore, we examined if SARS-CoV-2 detection dogs could provide an appropriate screening method for the human virus.The aim of this data publication is to provide the data acquired in the controlled, randomized and double-blinded pilot study `Scent dog identification of SARS-CoV-2 infection’ (submitted to BMC Infectious Diseases).

More information

  • DOI: 10.5281/zenodo.3948092
  • Language: en

Subjects

  • SARS-CoV-2, Covid 19, Detection Dog

Dates

  • Publication date: 2020
  • Issued: July 17, 2020

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Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsVersionOfhttps://doi.org/10.5281/zenodo.3948091
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo