Your browser doesn't support javascript.
The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study.
Beatty, Alexis L; Peyser, Noah D; Butcher, Xochitl E; Carton, Thomas W; Olgin, Jeffrey E; Pletcher, Mark J; Marcus, Gregory M.
  • Beatty AL; Division of Cardiology, University of California, San Francisco, San Francisco, CA, United States.
  • Peyser ND; Division of Cardiology, University of California, San Francisco, San Francisco, CA, United States.
  • Butcher XE; Division of Cardiology, University of California, San Francisco, San Francisco, CA, United States.
  • Carton TW; Louisiana Public Health Institute, New Orleans, LA, United States.
  • Olgin JE; Division of Cardiology, University of California, San Francisco, San Francisco, CA, United States.
  • Pletcher MJ; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States.
  • Marcus GM; Division of Cardiology, University of California, San Francisco, San Francisco, CA, United States.
JMIR Res Protoc ; 10(8): e28169, 2021 Aug 30.
Article in English | MEDLINE | ID: covidwho-1325493
ABSTRACT

BACKGROUND:

The COVID-19 pandemic has catalyzed a global public response and innovation in clinical study methods.

OBJECTIVE:

The COVID-19 Citizen Science study was designed to generate knowledge about participant-reported COVID-19 symptoms, behaviors, and disease occurrence.

METHODS:

COVID-19 Citizen Science is a longitudinal cohort study launched on March 26, 2020, on the Eureka Research Platform. This study illustrates important advances in digital clinical studies, including entirely digital study participation, targeted recruitment strategies, electronic consent, recurrent and time-updated assessments, integration with smartphone-based measurements, analytics for recruitment and engagement, connection with partner studies, novel engagement strategies such as participant-proposed questions, and feedback in the form of real-time results to participants.

RESULTS:

As of February 2021, the study has enrolled over 50,000 participants. Study enrollment and participation are ongoing. Over the lifetime of the study, an average of 59% of participants have completed at least one survey in the past 4 weeks.

CONCLUSIONS:

Insights about COVID-19 symptoms, behaviors, and disease occurrence can be drawn through digital clinical studies. Continued innovation in digital clinical study methods represents the future of clinical research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/28169.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: JMIR Res Protoc Year: 2021 Document Type: Article Affiliation country: 28169

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Journal: JMIR Res Protoc Year: 2021 Document Type: Article Affiliation country: 28169