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NCT04762693
Digital Acoustic Surveillance for Early Detection of Respiratory Disease Outbreaks
trial testing Hyfe cough tracker in Covid19 in 930 participants. Completed in 24 May 2022.
23 May 2022
Quick facts
| Lead sponsor | Clinica Universidad de Navarra, Universidad de Navarra |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 930 |
| Start date | 11 November 2020 |
| Primary completion | 23 May 2022 |
| Estimated completion | 24 May 2022 |
| Sites | 1 location across Spain |
Drugs / interventions tested
- Hyfe cough tracker
Conditions studied
Sponsor
Clinica Universidad de Navarra, Universidad de Navarra
Who can join
Adults 13 to 99, any sex, with Covid19 or Cough. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
An observational study to evaluate the accuracy of a digital cough monitoring tool to reflect the incidence of COVID-19 and other respiratory infections at the community level in the city of Pamplona, Spain.
Publications & conference data
6 peer-reviewed publications reference this trial (live from Europe PMC):
-
Longitudinal passive cough monitoring and its implications for detecting changes in clinical status.
Gabaldón-Figueira JC, Keen E, Rudd M, Orrilo V, et al · · 2022 · cited 27× · PMID 35586452 · DOI 10.1183/23120541.00001-2022 -
Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence.
Gabaldón-Figueira JC, Keen E, Giménez G, Orrillo V, et al · · 2022 · cited 26× · PMID 35651361 · DOI 10.1183/23120541.00053-2022 -
Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study.
Gabaldon-Figueira JC, Brew J, Doré DH, Umashankar N, et al · · 2021 · cited 21× · PMID 34215614 · DOI 10.1136/bmjopen-2021-051278 -
Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds.
Galvosas M, Gabaldón-Figueira JC, Keen EM, Orrillo V, et al · · 2022 · cited 5× · PMID 39931660 · DOI 10.12688/f1000research.122597.2 -
Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds
Galvosas M, Gabaldón-Figueira JC, Keen EM, Orrillo V, et al · · 2023 · DOI 10.12688/f1000research.122597.2 -
Acoustic surveillance for respiratory diseases: a prospective analysis of cough trends using artificial intelligence.
Gabaldon-Figueira J, Keen E, Giménez G, Orrillo V, et al · · 2021 · DOI 10.21203/rs.3.rs-1161801/v1
Verify or expand the search:
- PubMed search for NCT04762693
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04762693 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Clinica Universidad de Navarra, Universidad de Navarra
- Last refreshed: 20 July 2022
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