Infection Watch Study

NCT ID: NCT04623047

Last Updated: 2024-07-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

10034 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-06-28

Study Completion Date

2024-06-15

Brief Summary

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This study will reach out to patients who have undergone diagnostic testing for the following respiratory illnesses from January 1st, 2018 to July 9th, 2023: COVID-19, Influenza, Rhinovirus, and Respiratory Syncytial Virus. This study aims to develop a forecasting model to predict infection onset prior to symptom onset using wearable device data and known symptom onset and test dates.

Detailed Description

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DUHS patients who have diagnostic testing for Influenza, COVID-19, Respiratory syncytial virus, and Rhinovirus testing within the past 5 years will be initially screened for an email address. Participants will learn about this study via email with a link to complete the survey. A Study ID will be generated for all individuals with an email.

Participants will be asked to complete an e-consent via a REDCap survey. If participants have questions, they are provided with study contact information via e-mail. Participants will complete the survey which will have questions on prior symptoms and device ownership (anticipated time to complete: 5 minutes). If the participant owns one of the following wearable devices (Fitbit, Garmin, or Apple Watch), they will be sent to a redirect URL to login into their device account (for Fitbit or Garmin) or be provided with instructions to export their Healthkit data and dump their data into a unique Strongbox link (for Apple Watch). If participants choose to contribute their wearable device data to the study and the data obtained pass through data quality thresholds, they will receive compensation. There is no compensation for survey completion. The investigators will ask participants if they wish to be re-contacted for future studies related to this project.

The investigators will collect endpoint data values from the wearable. These data will be used to estimate daily activity amounts and intensity (i.e., exercise and walking), standing, sleep amounts, sleep quality, heart rate variability, SpO2, respiratory rate, and heart rate. All of the wearable device data will be identified using a Study ID.

The investigators will use statistical and machine learning models to develop personalized "baseline" models of health and detect anomalies that can help in identifying COVID-19 infection. The investigators will validate and test the sensitivity and specificity of our mode for detecting respiratory infection vs. no infection against symptom surveys and diagnostic testing as ground truth. The model testing and validation will be done separately for each brand of device and will be further modified according to the type of respiratory infection.

Conditions

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COVID-19 Respiratory Infection Respiratory Syncytial Virus Infections Rhinoviral Infections Influenza Viral Infections

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Study Groups

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Adults 18 years of age and up

The study will recruit any adult over the age of 18 years.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* 18 years of age and older

Exclusion Criteria

* Less than 18 years of age
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Biomedical Advanced Research and Development Authority

FED

Sponsor Role collaborator

Duke University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Chris Woods

Role: PRINCIPAL_INVESTIGATOR

Duke University

Jessilyn Dunn

Role: PRINCIPAL_INVESTIGATOR

Duke University

Ryan Shaw

Role: PRINCIPAL_INVESTIGATOR

Duke University

Locations

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Duke University

Durham, North Carolina, United States

Site Status

Countries

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United States

Other Identifiers

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PRO00106404

Identifier Type: -

Identifier Source: org_study_id

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