Scent dog identification of samples from COVID-19 patients - a pilot study - PubMed (original) (raw)
Randomized Controlled Trial
doi: 10.1186/s12879-020-05281-3.
Claudia Schulz 2, Friederike Twele 1, Sebastian Meller 1, Maren von Köckritz-Blickwede 2 3, Albertus Dominicus Marcellinus Erasmus Osterhaus 2, Janek Ebbers 4, Veronika Pilchová 2, Isabell Pink 5, Tobias Welte 5, Michael Peter Manns 6, Anahita Fathi 7 8 9, Christiane Ernst 10, Marylyn Martina Addo 7 8 9, Esther Schalke 11, Holger Andreas Volk 12
Affiliations
- PMID: 32703188
- PMCID: PMC7376324
- DOI: 10.1186/s12879-020-05281-3
Randomized Controlled Trial
Scent dog identification of samples from COVID-19 patients - a pilot study
Paula Jendrny et al. BMC Infect Dis. 2020.
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.
Keywords: COVID-19; Olfactory detection; SARS-CoV-2; Saliva; Scent detection dogs; Volatile organic compounds.
Conflict of interest statement
The authors declare that they have no competing interests.
Figures
Fig. 1
Diagnostic specificity and sensitivity by dog and for all dogs together. Whiskers show 95% confidence intervals
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