ArticleForensic science international. Synergy2021
Preliminary accuracy of COVID-19 odor detection by canines and HS-SPME-GC-MS using exhaled breath samples.
Article in Forensic science international. Synergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Scent dogs in detection of COVID-19: triple-blinded randomised trial and operational real-life screening in airport setting.BMJ global health · 2022Trial
- A Review on Long COVID Screening: Challenges and Perspectives Focusing on Exhaled Breath Gas Sensing.ACS sensors · 2025Review
- The science behind the nose: correlating volatile organic compound characterisation with canine biodetection of COVID-19.ERJ open research · 2024Article
- CFA-treated mice induce hyperalgesia in healthy mice via an olfactory mechanism.European journal of pain (London, England) · 2024Article
- Calibrating canines-a universal detector calibrant for detection dogs.Frontiers in allergy · 2024Review
- β-Propiolactone (BPL)-inactivation of SARS-Co-V-2: In vitro validation with focus on saliva from COVID-19 patients for scent dog training.Journal of virological methods · 2023Review
- Potential for Early Noninvasive COVID-19 Detection Using Electronic-Nose Technologies and Disease-Specific VOC Metabolic Biomarkers.Sensors (Basel, Switzerland) · 2023Review
- Investigating the Use of SARS-CoV-2 (COVID-19) Odor Expression as a Non-Invasive Diagnostic Tool-Pilot Study.Diagnostics (Basel, Switzerland) · 2023Article
- Unraveling the potential of breath and sweat VOC capture devices for human disease detection: a systematic-like review of canine olfaction and GC-MS analysis.Frontiers in chemistry · 2023Review
- Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS.PloS one · 2023Article
- The Use of Biological Sensors and Instrumental Analysis to Discriminate COVID-19 Odor Signatures.Biosensors · 2022Article
- Canine real-time detection of SARS-CoV-2 infections in the context of a mass screening event.BMJ global health · 2022Article
- Advanced setup for safe breath sampling and patient monitoring under highly infectious conditions in the clinical environment.Scientific reports · 2022Article
- Detection of SARS-CoV-2 by Canine Olfaction: A Pilot Study.Open forum infectious diseases · 2022Article
- Expert considerations and consensus for using dogs to detect human SARS-CoV-2-infections.Frontiers in medicine · 2022Article
- Dogs Detecting COVID-19 From Sweat and Saliva of Positive People: A Field Experience in Mexico.Frontiers in medicine · 2022Article
- Canine Olfaction: Physiology, Behavior, and Possibilities for Practical Applications.Animals : an open access journal from MDPI · 2021Review
- Canine olfactory detection and its relevance to medical detection.BMC infectious diseases · 2021Review
- Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs.Frontiers in medicine · 2021Article
- Mass Spectrometry-Based Human Breath Analysis: Towards COVID-19 Diagnosis and Research.Journal of analysis and testing · 2021Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The novel coronavirus SARS-CoV-2, since its initial outbreak in Wuhan, China has led to a worldwide pandemic and has shut down nations. As with any outbreak, there is a general strategy of detection, containment, treatment and/or cure. The authors would argue that rapid and efficient detection is critical and required to successful management of a disease. The current study explores and successfully demonstrates the use of canines to detect COVID-19 disease in exhaled breath. The intended use was to detect the odor of COVID-19 on contaminated surfaces inferring recent deposition of infectious material from a COVID-19 positive individual. Using masks obtained from hospitalized patients that tested positive for COVID-19 disease, four canines were trained and evaluated for their ability to detect the disease. All four canines obtained an accuracy >90% and positive predictive values ranging from ~73 to 93% after just one month of training.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.