About: Scent dog identification of samples from COVID-19 patients

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About: Scent dog identification of samples from COVID-19 patients – a pilot study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Scent dog identification of samples from COVID-19 patients – a pilot study
Creator	Welte, Tobias Addo, Marylyn Fathi, Anahita Manns, Michael Von Köckritz-Blickwede, Maren Dominicus, Albertus Ebbers, Janek Ernst, Christiane Jendrny, Paula Meller, Sebastian Osterhaus, Marcellinus Pilchová, Veronika Pink, Isabell Schalke, Esther Schulz, Claudia Twele, Friederike Volk, Holger
Source	Medline; PMC
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.
has issue date	2020-07-23(xsd:dateTime)
bibo:doi	10.1186/s12879-020-05281-3
bibo:pmid	32703188
has license	cc-by
sha1sum (hex)	b008867985ccd3544989aaaa141332fa9e54adb5
schema:url	https://doi.org/10.1186/s12879-020-05281-3
resource representing a document's title	Scent dog identification of samples from COVID-19 patients – a pilot study
has PubMed Central identifier	PMC7376324
has PubMed identifier	32703188
schema:publication	BMC Infect Dis
resource representing a document's body	covid:b008867985ccd3544989aaaa141332fa9e54adb5#body_text
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