- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04762693
Digital Acoustic Surveillance for Early Detection of Respiratory Disease Outbreaks
Digital Acoustic Surveillance for Early Detection of Respiratory Disease Outbreaks: An Exploratory Observational Study in Navarra, Spain
Study Overview
Detailed Description
This is a single-center prospective observational study that pretends to evaluate the accuracy of an acoustic surveillance mobile app to detect individual episodes of cough among a monitored population, as well as the barriers and facilitators that might affect uptake of similar platforms at a population level.
The app in question, Hyfe cough tracker, runs in the background of smartphones, and records short snippets (<0.5 seconds) of explosive, putative cough sounds. These are then classified as cough or non-cough, using a convolutional neural network (CNN) model, and matched to GPS and time data collected by the smartphone.
The night-time cough of participants will be monitored for a 30-day period, and their clinical records will be reviewed regularly, specifically looking for diagnoses of cough-producing diseases, and with special emphasis on COVID-19.
Cough data will be used to create a heatmap of cough density and geographic distribution. Aggregated cough registries will be used to calculate the coughs per person-hour registered in the cohort. These data will be used to carry out an ARIMA analysis on three parallel time series at the community level: The incidence of respiratory disease in the monitored cohort, in the entire study area (including the Universidad de Navarra, and the neighbouring Cendea de Cizur), and the cough frequency per monitored hours.
Changes in cough frequency will also be compared to other environmental variables such as temperature and pollution level registered in the study area.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Navarra
-
Pamplona, Navarra, Spain, 31009
- Universidad de Navarra
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Be aged 13 or above,
- Own and regularly use a smartphone able to run the cough-tracking system,
- Be willing to install and regularly use it,
- Be current residents of Navarra, and
- Have an active relationship with the university (having interest in the study, or being a student or worker, be a patient with a cough-related diagnosis at the Clínica Universidad de Navarra, or Cizur's health centre).
Exclusion Criteria:
- Inability to accept the privacy policy and terms of use of the cough-tracking system.
- Inability to grant access to medical records.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Cough monitoring
All enrolled participants will be asked to install the acoustic surveillance software in their smartphones and use it to record night-time coughs for a minimum 30-day period.
|
A mobile app that runs in the background of smartphones and detects putative cough sounds.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Correlation between registered coughs per person-hour and incidence of respiratory diseases
Time Frame: 1 year
|
The investigators will run an ARIMA analysis with three parallel time series: aggregated incidence of respiratory diseases in the observed cohort, in the entire study area, and aggregated cough data.
|
1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Uptake of the surveillance system
Time Frame: 1 year
|
The investigators will calculate the proportion of the total reached, eligible population that installs the app and regularly uses it in the requested way.
|
1 year
|
Barriers and facilitators affecting uptake of the surveillance system
Time Frame: 1 month
|
A sub-sample of 25 participants will be randomly recruited for focus group discussions.
In the focus groups, researchers will ask participants the following general questions: (1) What do you like about the app, (2) what do you think of this app relative to other health apps, (3) what doesn't work well, (4) what keeps you committed (or not) to using the app, (5) what do you think the purpose of the app is, (6) do you think the app has commercial value, and (7) what advice do you have for the developers?
|
1 month
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum In: Lancet. 2020 Jan 30;:
- Porter P, Abeyratne U, Swarnkar V, Tan J, Ng TW, Brisbane JM, Speldewinde D, Choveaux J, Sharan R, Kosasih K, Della P. A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory disorders in children. Respir Res. 2019 Jun 6;20(1):81. doi: 10.1186/s12931-019-1046-6.
- Sharan RV, Abeyratne UR, Swarnkar VR, Claxton S, Hukins C, Porter P. Predicting spirometry readings using cough sound features and regression. Physiol Meas. 2018 Sep 5;39(9):095001. doi: 10.1088/1361-6579/aad948.
- Kim GU, Kim MJ, Ra SH, Lee J, Bae S, Jung J, Kim SH. Clinical characteristics of asymptomatic and symptomatic patients with mild COVID-19. Clin Microbiol Infect. 2020 Jul;26(7):948.e1-948.e3. doi: 10.1016/j.cmi.2020.04.040. Epub 2020 May 1.
- Peeling RW, Wedderburn CJ, Garcia PJ, Boeras D, Fongwen N, Nkengasong J, Sall A, Tanuri A, Heymann DL. Serology testing in the COVID-19 pandemic response. Lancet Infect Dis. 2020 Sep;20(9):e245-e249. doi: 10.1016/S1473-3099(20)30517-X. Epub 2020 Jul 17.
- Chowdhury R, Luhar S, Khan N, Choudhury SR, Matin I, Franco OH. Long-term strategies to control COVID-19 in low and middle-income countries: an options overview of community-based, non-pharmacological interventions. Eur J Epidemiol. 2020 Aug;35(8):743-748. doi: 10.1007/s10654-020-00660-1. Epub 2020 Jul 13.
- Rasheed J, Jamil A, Hameed AA, Aftab U, Aftab J, Shah SA, Draheim D. A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic. Chaos Solitons Fractals. 2020 Dec;141:110337. doi: 10.1016/j.chaos.2020.110337. Epub 2020 Oct 10.
- Santillana M, Nguyen AT, Louie T, Zink A, Gray J, Sung I, Brownstein JS. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Sci Rep. 2016 May 11;6:25732. doi: 10.1038/srep25732.
- Mukundarajan H, Hol FJH, Castillo EA, Newby C, Prakash M. Using mobile phones as acoustic sensors for high-throughput mosquito surveillance. Elife. 2017 Oct 31;6:e27854. doi: 10.7554/eLife.27854.
- Naseem M, Akhund R, Arshad H, Ibrahim MT. Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review. J Prim Care Community Health. 2020 Jan-Dec;11:2150132720963634. doi: 10.1177/2150132720963634.
- Liss DT, Serrano E, Wakeman J, Nowicki C, Buchanan DR, Cesan A, Brown T. "The Doctor Needs to Know": Acceptability of Smartphone Location Tracking for Care Coordination. JMIR Mhealth Uhealth. 2018 May 4;6(5):e112. doi: 10.2196/mhealth.9726.
- Gabaldon-Figueira JC, Brew J, Doré DH, Umashankar N, Chaccour J, Orrillo V, Tsang LY, Blavia I, Fernández-Montero A, Bartolomé J, Grandjean Lapierre S, Chaccour C. Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study. BMJ Open. 2021 Jul 2;11(7):e051278. doi: 10.1136/bmjopen-2021-051278.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- DASRD
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Covid19
-
Anavasi DiagnosticsNot yet recruiting
-
Ain Shams UniversityRecruiting
-
Israel Institute for Biological Research (IIBR)Completed
-
Colgate PalmoliveCompleted
-
Christian von BuchwaldCompleted
-
Luye Pharma Group Ltd.Shandong Boan Biotechnology Co., LtdActive, not recruiting
-
University of ZurichLabor Speiz; Swiss Armed Forces; Universitätsspital ZürichEnrolling by invitation
-
Alexandria UniversityCompleted
Clinical Trials on Hyfe cough tracker
-
Clinica Universidad de Navarra, Universidad de...Centre de Recherche du Centre Hospitalier de l'Université de Montréal; Hyfe...RecruitingCough | Asthma | Tuberculosis | GERD | COPD | COVID-19 Pneumonia | Non-Tuberculous Mycobacterial PneumoniaSpain
-
Hyfe IncActive, not recruiting
-
University Health Network, TorontoUniversity of Toronto; The Salvation Army Toronto Grace Health CentreRecruiting
-
University Hospital, AntwerpPhilips RespironicsTerminated
-
Mike O'Callaghan Military HospitalCompletedType II Diabetes MellitusUnited States
-
Erasmus Medical CenterKing's College Hospital NHS Trust; Royal Brompton & Harefield NHS Foundation... and other collaboratorsCompletedIdiopathic Pulmonary FibrosisFrance, Italy, Netherlands
-
University of StellenboschAmsterdam Institute for Global Health and Development; Makerere University; University...Recruiting
-
Assiut UniversityNot yet recruiting
-
IRCCS San Camillo, Venezia, ItalyUnknownPneumonia | Brain Injury | Acquired Brain Injury | Tracheostomy ComplicationItaly
-
University Hospital, ToursMinistry of Health, France; National Research Agency, France; UMR 1253, iBrain... and other collaboratorsRecruitingAutism Spectrum DisorderFrance