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131 active trials for Coronavirus

Observational Digital Biomarker Discovery in Respiratory Virus Challenge Studies

Background: Respiratory viruses circulate throughout the year and around the globe. Wearable and sensor devices, like smartwatches, may be able to help monitor infectious diseases. Researchers want to use them to learn how respiratory viruses affect people in different ways. Objective: To use digital devices to collect data from participants in challenge studies that could indicate subtle changes in health during an infection that might otherwise go unnoticed. Eligibility: Healthy adults who have enrolled in a challenge study. Design: Participants will stay at NIH for at least 9 days and then they will have outpatient visits. While at NIH, participants will wear a smartwatch at all times. It will record data like temperature, heart rate, breathing rate, and movements. Participants will have 2 smartphones. One will be recording at all times to listen for coughing. Participants will use the other smartphone to check their vital signs. They will collect data like heart rate, temperature, and the level of oxygen in the blood every 4 hours during the daytime. Participants will perform tasks every 4 hours during the daytime. They will record themselves coughing, breathing in deeply, and reading aloud. They will take pictures and videos of their face. A bedside sensor will record participants while they sleep. It will record heart rate and breathing rate. It will also look at sleep activity, such as movements participants make during sleep and how deeply they sleep. Participants sharing the same room will be exposed to the same challenge virus. For outpatient visits, participants will use one smartphone and the smartwatch to complete the above tasks. Participation will last from 10 weeks to 1 year. ...

Start: June 2021
COVID-19 Pandemic Response Network

Coronavirus Disease 19 (COVID-19) represents an unprecedented challenge to the operations and population health management efforts of health care systems around the world. The "Pandemic Research Network (PRN): Duke Community Health Watch" study leverages technology, clinical research, epidemiology, telemedicine, and population health management capabilities to understand how to safely COVID-19. The target population is individuals in the Duke Health region as well as individuals beyond the Duke Health region who have flu-like symptoms, a viral test order for COVID-19, confirmed COVID-19, or concern for exposure to COVID-19. A subgroup of particular interest within the target population is health care workers (HCW) and families of HCW. Community members will enroll in the study electronically and for 28 days will be reminded via email or SMS to submit signs and symptoms related to COVID-19. Participants who report symptoms will be provided information about COVID-19 testing (if needed) and established mechanisms to seek care within Duke Health. Instructions for telemedicine and in-person visits, which is available publicly at https://www.dukehealth.org/covid-19-update, will be presented to participants. Participants who are unable to report symptoms independently may be contacted via telephone by Population Health Management Office (PHMO) or Clinical Events Classification (CEC) team members. Data collected through the "Pandemic Response Network (PRN): Duke Community Health Watch" study will be used for three objectives. First, to characterize the epidemiological features of COVID-19. Specifically, we will have a high-risk subgroup of HCW and families of HCW that we enroll. Second, to develop models that predict deterioration and the need for inpatient care, intensive care, and mechanical ventilation. Third, to develop forecast models to estimate the volume of inpatient and outpatient resources needed to manage a COVID-19 population. The primary risk to study participants is loss of protected health information. To address this concern, all data will be stored in Duke's REDCap instance and the Duke Protected Analytics Compute Environment (PACE).

Start: April 2020