Article Dans Une Revue Journal of Travel Medicine Année : 2022

Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study

Claire Guest
  • Fonction : co premier-auteur
Sarah Y. Dewhirst
Erin Foley
  • Fonction : Auteur
Tim Gibson
  • Fonction : Auteur
Manil Shah
  • Fonction : Auteur

Résumé

Background: A rapid, accurate, non-invasive diagnostic screen is needed to identify people with SARS-CoV-2 infection. We investigated whether organic semi-conducting (OSC) sensors and trained dogs could distinguish between people infected with asymptomatic or mild symptoms, and uninfected individuals, and the impact of screening at ports-of-entry. Methods: Odour samples were collected from adults, and SARS-CoV-2 infection status confirmed using RT-PCR. OSC sensors captured the volatile organic compound (VOC) profile of odour samples. Trained dogs were tested in a double-blind trial to determine their ability to detect differences in VOCs between infected and uninfected

Fichier principal
Vignette du fichier
2022_Guest_JTM.pdf (912.87 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-04164731 , version 1 (18-07-2023)

Licence

Identifiants

Citer

Claire Guest, Sarah Y. Dewhirst, Steve W. Lindsay, David J. Allen, Sophie Aziz, et al.. Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study. Journal of Travel Medicine, 2022, 29, ⟨10.1093/jtm/taac043⟩. ⟨hal-04164731⟩
41 Consultations
129 Téléchargements

Altmetric

Partager

  • More