Official Title
Improving Real-time COVID-19 Monitoring Through Smartphone Voice Analysis
Brief Summary

This is a confirmatory study that seeks to examine whether respiratory-responsive vocal biomarkers have potential to respond to COVID-19 infection status and respiratory symptom severity. Patients with suspected COVID-19 and healthy controls will submit daily voice samples and symptom inventories on their personal smartphone devices for 14 days.

Detailed Description

This is an observational study examining the potential to use voice analysis to aid in the
identification of COVID-19 and as an aid to monitoring of respiratory symptoms of COVID-19.
Patients with suspected COVID-19 and healthy controls will be enrolled and use their own
smartphone device to provide daily voice samples and symptom inventories. This study seeks to
confirm and extend findings from preliminary data from patients with asthma, COPD and cough
that has indicated the potential of respiratory responsive vocal biomarkers (RRVB) to respond
to respiratory diagnoses and symptom severity. The same RRVB will be examined to confirm
whether this potential generalizes to respiratory symptoms associated with COVID-19

Completed
COVID19

Other: Smartphone-based voice and self-reported symptom collection

Voice samples and COVID-19 symptom inventories will be collected on participant smartphone devices. No outcomes or feedback is provided on acquired data during trial conduct but will be used for confirmatory data analysis post study

Eligibility Criteria

Inclusion Criteria:

1. Own an eligible smartphone (iOS or Android) that is able to download and run the Sonde
Health app (access to smartphone provided by parent or legal guardian of participants
under the age 18 is allowed)

2. Willing to sign up for a Sonde app account

3. Agreement with the subject consent information presented on the Sonde app. In case of
adolescent subjects, agreement with subject consent information provided by a parent
or legal guardian

4. Stated willingness and ability to comply with all study procedures for the duration of
the study

5. Male or female, aged 12 or above (including adults)

6. Able to read and speak English or Spanish (required to follow app instructions and
provide correct voice elicitations)

7. Pregnant women are allowed to participate

For suspected COVID-19 patients:

8. Confirmed or suspected COVID-19 infection with mild or severe illness severity at
screening on Day 1

9. Suspected COVID-19 includes patients having at least one of the following symptoms
that are present at most 10 days prior to enrollment:

- Cough

- Fever (>37.5 C/ 99.5 F)

- Shortness of breath

- Sore throat

- Diarrhea

- Anosmia

- Loss of taste/ ageusia

10. COVID-19 viral test ordered at the study site within at most 5 days prior to or on Day
1

For healthy volunteers:

11. Hospital staff or co-living family members, or co-living family member of a COVID-19
positive patient that is enrolled in this study

12. Age 12 and above

Exclusion Criteria:

1. Difficulties with speech production

2. Difficulties reading or responding to instructions and questions on a smartphone
screen

3. Critical COVID-19 illness severity at screening on Day 1

4. Other critical health condition where study participation would place unreasonable
burden or risk on the patient as determined by the study site principal investigator

For healthy volunteers:

5. History of positive COVID-19 viral or serologic test result any time prior to
enrollment

6. Any hospital staff that is a member of the study team, and staff in the pulmonary and
infectious disease departments of the participating institution, or any of their
co-living family members

Eligibility Gender
All
Eligibility Age
Minimum: 12 Years ~ Maximum: N/A
Countries
India
United States
Locations

UC San Diego Medical Center
San Diego, California, United States

Brigham & Woman's Hospital
Boston, Massachusetts, United States

Montefiore Medical Center
New York, New York, United States

Deenanath Mangeshkar Hospital & Research Centre
Pune, India

NCT Number
Keywords
Respiratory disease
respiratory infection
Vocal biomarkers
Digital Health
Symptom monitoring
MeSH Terms
COVID-19