Study Information

dbGaP Study Accession: phs002537

RAPIDS Link: https://rapids.ll.mit.edu/study/NIH_Evidation_C19EX

NIH Institute/Center: NCI

RADx Data Program: RADx DHT

Release Date: 04/15/2024

Updated Date: 04/15/2024

Study Description: This study was conducted virtually through the Achievement studies platform during the current COVID-19 pandemic. Participants were asked to complete a survey every day to capture information about whether they had experienced symptoms corresponding to respiratory, influenza-like-illness (ILI), and COVID-19 infections within the previous 24-hour period, their experiences with the healthcare system, treatments, diagnostic testing, and their behaviors and potential risk factors. Participants were also asked to share their wearable activity tracker data. The purpose of this study was to better understand the geographic spread of diseases, impacts on daily life, and behavioral and physiological functioning in relation to recent self-reported respiratory disease, ILI, and coronavirus disease (COVID-19) events.

Principal Investigator: Ramirez, Ernesto

Has Data Files: No

Study Domain: Biosensor Technology; Artificial Intelligence and Machine Learning; Digital Health Applications

Data Collection Method: Survey

Study Design: Longitudinal Cohort

Multi-Center Study: FALSE

Study Sites: This was a decentralized study run on Evidation's Achievement platform

Data Types: Behavioral; Physical Activity; Individual Phenotype; Questionnaires/Surveys; Other

Data Types, Other: physIQ Platform Clinic Events; physIQ Derived Indices/Aggregates; VitalPatch Biosensor Data; physIQ Platform Notes and Milestone/Markers; physIQ Platform Biosensor-Derived Physiological Feature Data

Study Start Date: 09/14/2020

Study End Date: 09/13/2021

Species: Human Data

Estimated Cohort Size: 36561

Study Population Focus: Adults

Acknowledgement Statement: This study was supported through funding, 75N91020C00034-P00002-9999-1, for the National Cancer Institute (NCI) as part of the RADx DHT program. We would also like to thank our Achievement members who participated in this study. Approved users should acknowledge the provision of data access by dbGaP for accession phs002537.v1.p1 and RAPIDS (https://rapids.ll.mit.edu/10.57895/6m5z-je42). Approved users should also acknowledge the specific version(s) of the dataset(s) obtained from RAPIDS.

NIH Grant or Contract Number(s): 75N91020C00034-P00002-9999-1

Consent/Data Use Limitations: General Research Use

Data Files
The data from this study is owned by the Digital Health Technologies (DHT) program which hosts its data on the RAPIDS platform. Open the "How to Request Access" modal to find the link to the corresponding study page in RAPIDS.