Observational Study of Digital Biomarkers in Respiratory Virus Challenge Studies
This observational study aims to understand how wearable devices, like smartwatches, can help detect subtle health changes when people are infected with respiratory viruses such as influenza or coronavirus. Researchers want to see if data collected from these devices, like cough patterns, heart rate, and temperature, can be used to predict when someone is getting sick or how severe their illness might be. You can join if you are an adult between 18 and 65 years old and are already participating in, or planning to participate in, a separate respiratory virus challenge study at the NIH Clinical Center. The main goal is to see if the device data matches how sick people feel and if it can predict influenza infection.
- Study design
- This is an observational study with a planned enrollment of 1000 participants. It is not a treatment study but rather focuses on collecting data using digital devices.
- What's involved
- You will need to wear devices as instructed during your inpatient stay (at least 9 days) and during 2-4 outpatient follow-up visits. You may also be sent smartwatches to wear at home to collect additional data.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will have 2-4 outpatient follow-up visits after their inpatient stay.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Observational Digital Biomarker Discovery in Respiratory Virus Challenge Studies
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Luca T Giurgea, M.D. · PRINCIPAL_INVESTIGATOR · National Institute of Allergy and Infectious Diseases (NIAID)
Who to contact
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What this trial measures
- To correlate continuous cough sensor data to cough severity after challenge.To develop a predictive model for MMID and asymptomatic influenza infection using digital biomarkers.minimum of 9 days inpatient
Cough is a known symptom of respiratory virus infections and can be quantified by objective measurements.Data from smart devices may be able to discern who gets sick with a respiratory virus and could be utilized as a diagnostic tool.