Scent dog identification of samples from COVID-19 patients – a pilot study
Abstract Background As the COVID-19 pandemic continues to spread, early, ideally real-time, identification of SARS-CoV-2 infected individuals is pivotal in interrupting infection chains. Volatile organic compounds produced during respiratory infections can cause specific scent imprints, which can be...
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doaj-fe50786626a64226b630074cbf139ead2020-11-25T01:59:32ZengBMCBMC Infectious Diseases1471-23342020-07-012011710.1186/s12879-020-05281-3Scent dog identification of samples from COVID-19 patients – a pilot studyPaula Jendrny0Claudia Schulz1Friederike Twele2Sebastian Meller3Maren von Köckritz-Blickwede4Albertus Dominicus Marcellinus Erasmus Osterhaus5Janek EbbersVeronika Pilchová6Isabell Pink7Tobias Welte8Michael Peter Manns9Anahita Fathi10Christiane Ernst11Marylyn Martina Addo12Esther Schalke13Holger Andreas Volk14Department of Small Animal Medicine and Surgery, University of Veterinary Medicine HannoverResearch Center for Emerging Infections and Zoonoses, University of Veterinary Medicine HannoverDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine HannoverDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine HannoverResearch Center for Emerging Infections and Zoonoses, University of Veterinary Medicine HannoverResearch Center for Emerging Infections and Zoonoses, University of Veterinary Medicine HannoverResearch Center for Emerging Infections and Zoonoses, University of Veterinary Medicine HannoverDepartment of Respiratory Medicine, Hannover Medical SchoolDepartment of Respiratory Medicine, Hannover Medical SchoolHannover Medical SchoolDepartment of Medicine, Division of Infectious Diseases, University Medical-Center Hamburg-EppendorfCentral Institute of Medical Service, German Armed ForcesDepartment of Medicine, Division of Infectious Diseases, University Medical-Center Hamburg-EppendorfBundeswehr School of Dog handling, German Armed ForcesDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine HannoverAbstract Background As the COVID-19 pandemic continues to spread, early, ideally real-time, identification of SARS-CoV-2 infected individuals is pivotal in interrupting infection chains. Volatile organic compounds produced during respiratory infections can cause specific scent imprints, which can be detected by trained dogs with a high rate of precision. Methods Eight detection dogs were trained for 1 week to detect saliva or tracheobronchial secretions of SARS-CoV-2 infected patients in a randomised, double-blinded and controlled study. Results The dogs were able to discriminate between samples of infected (positive) and non-infected (negative) individuals with average diagnostic sensitivity of 82.63% (95% confidence interval [CI]: 82.02–83.24%) and specificity of 96.35% (95% CI: 96.31–96.39%). During the presentation of 1012 randomised samples, the dogs achieved an overall average detection rate of 94% (±3.4%) with 157 correct indications of positive, 792 correct rejections of negative, 33 incorrect indications of negative or incorrect rejections of 30 positive sample presentations. Conclusions These preliminary findings indicate that trained detection dogs can identify respiratory secretion samples from hospitalised and clinically diseased SARS-CoV-2 infected individuals by discriminating between samples from SARS-CoV-2 infected patients and negative controls. This data may form the basis for the reliable screening method of SARS-CoV-2 infected people.http://link.springer.com/article/10.1186/s12879-020-05281-3COVID-19SARS-CoV-2Volatile organic compoundsScent detection dogsOlfactory detectionSaliva |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paula Jendrny Claudia Schulz Friederike Twele Sebastian Meller Maren von Köckritz-Blickwede Albertus Dominicus Marcellinus Erasmus Osterhaus Janek Ebbers Veronika Pilchová Isabell Pink Tobias Welte Michael Peter Manns Anahita Fathi Christiane Ernst Marylyn Martina Addo Esther Schalke Holger Andreas Volk |
spellingShingle |
Paula Jendrny Claudia Schulz Friederike Twele Sebastian Meller Maren von Köckritz-Blickwede Albertus Dominicus Marcellinus Erasmus Osterhaus Janek Ebbers Veronika Pilchová Isabell Pink Tobias Welte Michael Peter Manns Anahita Fathi Christiane Ernst Marylyn Martina Addo Esther Schalke Holger Andreas Volk Scent dog identification of samples from COVID-19 patients – a pilot study BMC Infectious Diseases COVID-19 SARS-CoV-2 Volatile organic compounds Scent detection dogs Olfactory detection Saliva |
author_facet |
Paula Jendrny Claudia Schulz Friederike Twele Sebastian Meller Maren von Köckritz-Blickwede Albertus Dominicus Marcellinus Erasmus Osterhaus Janek Ebbers Veronika Pilchová Isabell Pink Tobias Welte Michael Peter Manns Anahita Fathi Christiane Ernst Marylyn Martina Addo Esther Schalke Holger Andreas Volk |
author_sort |
Paula Jendrny |
title |
Scent dog identification of samples from COVID-19 patients – a pilot study |
title_short |
Scent dog identification of samples from COVID-19 patients – a pilot study |
title_full |
Scent dog identification of samples from COVID-19 patients – a pilot study |
title_fullStr |
Scent dog identification of samples from COVID-19 patients – a pilot study |
title_full_unstemmed |
Scent dog identification of samples from COVID-19 patients – a pilot study |
title_sort |
scent dog identification of samples from covid-19 patients – a pilot study |
publisher |
BMC |
series |
BMC Infectious Diseases |
issn |
1471-2334 |
publishDate |
2020-07-01 |
description |
Abstract Background As the COVID-19 pandemic continues to spread, early, ideally real-time, identification of SARS-CoV-2 infected individuals is pivotal in interrupting infection chains. Volatile organic compounds produced during respiratory infections can cause specific scent imprints, which can be detected by trained dogs with a high rate of precision. Methods Eight detection dogs were trained for 1 week to detect saliva or tracheobronchial secretions of SARS-CoV-2 infected patients in a randomised, double-blinded and controlled study. Results The dogs were able to discriminate between samples of infected (positive) and non-infected (negative) individuals with average diagnostic sensitivity of 82.63% (95% confidence interval [CI]: 82.02–83.24%) and specificity of 96.35% (95% CI: 96.31–96.39%). During the presentation of 1012 randomised samples, the dogs achieved an overall average detection rate of 94% (±3.4%) with 157 correct indications of positive, 792 correct rejections of negative, 33 incorrect indications of negative or incorrect rejections of 30 positive sample presentations. Conclusions These preliminary findings indicate that trained detection dogs can identify respiratory secretion samples from hospitalised and clinically diseased SARS-CoV-2 infected individuals by discriminating between samples from SARS-CoV-2 infected patients and negative controls. This data may form the basis for the reliable screening method of SARS-CoV-2 infected people. |
topic |
COVID-19 SARS-CoV-2 Volatile organic compounds Scent detection dogs Olfactory detection Saliva |
url |
http://link.springer.com/article/10.1186/s12879-020-05281-3 |
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