Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs

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Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs. / Ten Hagen, Nele Alexandra; Twele, Friederike; Meller, Sebastian; Jendrny, Paula; Schulz, Claudia; von Köckritz-Blickwede, Maren; Osterhaus, Ab; Ebbers, Hans; Pink, Isabell; Welte, Tobias; Manns, Michael Peter; Illig, Thomas; Fathi, Anahita; Addo, Marylyn Martina; Nitsche, Andreas; Puyskens, Andreas; Michel, Janine; Krause, Eva; Ehmann, Rosina; von Brunn, Albrecht; Ernst, Christiane; Zwirglmaier, Katrin; Wölfel, Roman; Nau, Alexandra; Philipp, Eva; Engels, Michael; Schalke, Esther; Volk, Holger Andreas.

In: FRONT MED-LAUSANNE, Vol. 8, 749588, 2021.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Ten Hagen, NA, Twele, F, Meller, S, Jendrny, P, Schulz, C, von Köckritz-Blickwede, M, Osterhaus, A, Ebbers, H, Pink, I, Welte, T, Manns, MP, Illig, T, Fathi, A, Addo, MM, Nitsche, A, Puyskens, A, Michel, J, Krause, E, Ehmann, R, von Brunn, A, Ernst, C, Zwirglmaier, K, Wölfel, R, Nau, A, Philipp, E, Engels, M, Schalke, E & Volk, HA 2021, 'Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs', FRONT MED-LAUSANNE, vol. 8, 749588. https://doi.org/10.3389/fmed.2021.749588

APA

Ten Hagen, N. A., Twele, F., Meller, S., Jendrny, P., Schulz, C., von Köckritz-Blickwede, M., Osterhaus, A., Ebbers, H., Pink, I., Welte, T., Manns, M. P., Illig, T., Fathi, A., Addo, M. M., Nitsche, A., Puyskens, A., Michel, J., Krause, E., Ehmann, R., ... Volk, H. A. (2021). Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs. FRONT MED-LAUSANNE, 8, [749588]. https://doi.org/10.3389/fmed.2021.749588

Vancouver

Bibtex

@article{74cc6d2f4e324fbeb15ad9eadcf59972,
title = "Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs",
abstract = "Background: Testing of possibly infected individuals remains cornerstone of containing the spread of SARS-CoV-2. Detection dogs could contribute to mass screening. Previous research demonstrated canines' ability to detect SARS-CoV-2-infections but has not investigated if dogs can differentiate between COVID-19 and other virus infections. Methods: Twelve dogs were trained to detect SARS-CoV-2 positive samples. Three test scenarios were performed to evaluate their ability to discriminate SARS-CoV-2-infections from viral infections of a different aetiology. Naso- and oropharyngeal swab samples from individuals and samples from cell culture both infected with one of 15 viruses that may cause COVID-19-like symptoms were presented as distractors in a randomised, double-blind study. Dogs were either trained with SARS-CoV-2 positive saliva samples (test scenario I and II) or with supernatant from cell cultures (test scenario III). Results: When using swab samples from individuals infected with viruses other than SARS-CoV-2 as distractors (test scenario I), dogs detected swab samples from SARS-CoV-2-infected individuals with a mean diagnostic sensitivity of 73.8% (95% CI: 66.0-81.7%) and a specificity of 95.1% (95% CI: 92.6-97.7%). In test scenario II and III cell culture supernatant from cells infected with SARS-CoV-2, cells infected with other coronaviruses and non-infected cells were presented. Dogs achieved mean diagnostic sensitivities of 61.2% (95% CI: 50.7-71.6%, test scenario II) and 75.8% (95% CI: 53.0-98.5%, test scenario III), respectively. The diagnostic specificities were 90.9% (95% CI: 87.3-94.6%, test scenario II) and 90.2% (95% CI: 81.1-99.4%, test scenario III), respectively. Conclusion: In all three test scenarios the mean specificities were above 90% which indicates that dogs can distinguish SARS-CoV-2-infections from other viral infections. However, compared to earlier studies our scent dogs achieved lower diagnostic sensitivities. To deploy COVID-19 detection dogs as a reliable screening method it is therefore mandatory to include a variety of samples from different viral respiratory tract infections in dog training to ensure a successful discrimination process.",
author = "{Ten Hagen}, {Nele Alexandra} and Friederike Twele and Sebastian Meller and Paula Jendrny and Claudia Schulz and {von K{\"o}ckritz-Blickwede}, Maren and Ab Osterhaus and Hans Ebbers and Isabell Pink and Tobias Welte and Manns, {Michael Peter} and Thomas Illig and Anahita Fathi and Addo, {Marylyn Martina} and Andreas Nitsche and Andreas Puyskens and Janine Michel and Eva Krause and Rosina Ehmann and {von Brunn}, Albrecht and Christiane Ernst and Katrin Zwirglmaier and Roman W{\"o}lfel and Alexandra Nau and Eva Philipp and Michael Engels and Esther Schalke and Volk, {Holger Andreas}",
note = "Copyright {\textcopyright} 2021 ten Hagen, Twele, Meller, Jendrny, Schulz, von K{\"o}ckritz-Blickwede, Osterhaus, Ebbers, Pink, Welte, Manns, Illig, Fathi, Addo, Nitsche, Puyskens, Michel, Krause, Ehmann, von Brunn, Ernst, Zwirglmaier, W{\"o}lfel, Nau, Philipp, Engels, Schalke and Volk.",
year = "2021",
doi = "10.3389/fmed.2021.749588",
language = "English",
volume = "8",
journal = "FRONT MED-LAUSANNE",
issn = "2296-858X",
publisher = "Frontiers Media S. A.",

}

RIS

TY - JOUR

T1 - Discrimination of SARS-CoV-2 Infections From Other Viral Respiratory Infections by Scent Detection Dogs

AU - Ten Hagen, Nele Alexandra

AU - Twele, Friederike

AU - Meller, Sebastian

AU - Jendrny, Paula

AU - Schulz, Claudia

AU - von Köckritz-Blickwede, Maren

AU - Osterhaus, Ab

AU - Ebbers, Hans

AU - Pink, Isabell

AU - Welte, Tobias

AU - Manns, Michael Peter

AU - Illig, Thomas

AU - Fathi, Anahita

AU - Addo, Marylyn Martina

AU - Nitsche, Andreas

AU - Puyskens, Andreas

AU - Michel, Janine

AU - Krause, Eva

AU - Ehmann, Rosina

AU - von Brunn, Albrecht

AU - Ernst, Christiane

AU - Zwirglmaier, Katrin

AU - Wölfel, Roman

AU - Nau, Alexandra

AU - Philipp, Eva

AU - Engels, Michael

AU - Schalke, Esther

AU - Volk, Holger Andreas

N1 - Copyright © 2021 ten Hagen, Twele, Meller, Jendrny, Schulz, von Köckritz-Blickwede, Osterhaus, Ebbers, Pink, Welte, Manns, Illig, Fathi, Addo, Nitsche, Puyskens, Michel, Krause, Ehmann, von Brunn, Ernst, Zwirglmaier, Wölfel, Nau, Philipp, Engels, Schalke and Volk.

PY - 2021

Y1 - 2021

N2 - Background: Testing of possibly infected individuals remains cornerstone of containing the spread of SARS-CoV-2. Detection dogs could contribute to mass screening. Previous research demonstrated canines' ability to detect SARS-CoV-2-infections but has not investigated if dogs can differentiate between COVID-19 and other virus infections. Methods: Twelve dogs were trained to detect SARS-CoV-2 positive samples. Three test scenarios were performed to evaluate their ability to discriminate SARS-CoV-2-infections from viral infections of a different aetiology. Naso- and oropharyngeal swab samples from individuals and samples from cell culture both infected with one of 15 viruses that may cause COVID-19-like symptoms were presented as distractors in a randomised, double-blind study. Dogs were either trained with SARS-CoV-2 positive saliva samples (test scenario I and II) or with supernatant from cell cultures (test scenario III). Results: When using swab samples from individuals infected with viruses other than SARS-CoV-2 as distractors (test scenario I), dogs detected swab samples from SARS-CoV-2-infected individuals with a mean diagnostic sensitivity of 73.8% (95% CI: 66.0-81.7%) and a specificity of 95.1% (95% CI: 92.6-97.7%). In test scenario II and III cell culture supernatant from cells infected with SARS-CoV-2, cells infected with other coronaviruses and non-infected cells were presented. Dogs achieved mean diagnostic sensitivities of 61.2% (95% CI: 50.7-71.6%, test scenario II) and 75.8% (95% CI: 53.0-98.5%, test scenario III), respectively. The diagnostic specificities were 90.9% (95% CI: 87.3-94.6%, test scenario II) and 90.2% (95% CI: 81.1-99.4%, test scenario III), respectively. Conclusion: In all three test scenarios the mean specificities were above 90% which indicates that dogs can distinguish SARS-CoV-2-infections from other viral infections. However, compared to earlier studies our scent dogs achieved lower diagnostic sensitivities. To deploy COVID-19 detection dogs as a reliable screening method it is therefore mandatory to include a variety of samples from different viral respiratory tract infections in dog training to ensure a successful discrimination process.

AB - Background: Testing of possibly infected individuals remains cornerstone of containing the spread of SARS-CoV-2. Detection dogs could contribute to mass screening. Previous research demonstrated canines' ability to detect SARS-CoV-2-infections but has not investigated if dogs can differentiate between COVID-19 and other virus infections. Methods: Twelve dogs were trained to detect SARS-CoV-2 positive samples. Three test scenarios were performed to evaluate their ability to discriminate SARS-CoV-2-infections from viral infections of a different aetiology. Naso- and oropharyngeal swab samples from individuals and samples from cell culture both infected with one of 15 viruses that may cause COVID-19-like symptoms were presented as distractors in a randomised, double-blind study. Dogs were either trained with SARS-CoV-2 positive saliva samples (test scenario I and II) or with supernatant from cell cultures (test scenario III). Results: When using swab samples from individuals infected with viruses other than SARS-CoV-2 as distractors (test scenario I), dogs detected swab samples from SARS-CoV-2-infected individuals with a mean diagnostic sensitivity of 73.8% (95% CI: 66.0-81.7%) and a specificity of 95.1% (95% CI: 92.6-97.7%). In test scenario II and III cell culture supernatant from cells infected with SARS-CoV-2, cells infected with other coronaviruses and non-infected cells were presented. Dogs achieved mean diagnostic sensitivities of 61.2% (95% CI: 50.7-71.6%, test scenario II) and 75.8% (95% CI: 53.0-98.5%, test scenario III), respectively. The diagnostic specificities were 90.9% (95% CI: 87.3-94.6%, test scenario II) and 90.2% (95% CI: 81.1-99.4%, test scenario III), respectively. Conclusion: In all three test scenarios the mean specificities were above 90% which indicates that dogs can distinguish SARS-CoV-2-infections from other viral infections. However, compared to earlier studies our scent dogs achieved lower diagnostic sensitivities. To deploy COVID-19 detection dogs as a reliable screening method it is therefore mandatory to include a variety of samples from different viral respiratory tract infections in dog training to ensure a successful discrimination process.

U2 - 10.3389/fmed.2021.749588

DO - 10.3389/fmed.2021.749588

M3 - SCORING: Journal article

C2 - 34869443

VL - 8

JO - FRONT MED-LAUSANNE

JF - FRONT MED-LAUSANNE

SN - 2296-858X

M1 - 749588

ER -