Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58097, first published .
Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis

Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis

Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis

Elizabeth Crull   1 , MPH ;   Emily C O'Brien   2 , PhD ;   Pavel Antiperovitch   3 , MD ;   Kirubel Asfaw   2 , MS ;   Alexis L Beatty   4 , MD, MAS ;   Djeneba Audrey Djibo   5 , PhD ;   Alan F Kaul   6 , PharmD, MBA ;   John Kornak   3 , PhD ;   Gregory M Marcus   4 , MD, MAS ;   Madelaine Faulkner Modrow   3 , MPH ;   Jeffrey E Olgin   4 , MD ;   Jaime Orozco   3 , BA ;   Soo Park   3 , BA ;   Noah Peyser   4 , PhD ;   Mark J Pletcher   3 , MD, MPH ;   Thomas W Carton   1 , MS, PhD

1 Department of Health Services Research, Louisiana Public Health Institute, New Orleans, LA, United States

2 Duke Clinical Research Institute, School of Medicine, Duke University, Durham, NC, United States

3 Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States

4 Division of Cardiology, University of California, San Francisco, San Francisco, CA, United States

5 Safety, Surveillance, and Collaboration, CVS Health, Blue Bell, PA, United States

6 Medical Outcomes Management, Inc., Sharon, MA, United States

Corresponding Author:

  • Elizabeth Crull, MPH
  • Department of Health Services Research
  • Louisiana Public Health Institute
  • 400 Poydras Street, Suite 1250
  • New Orleans, LA 70130
  • United States
  • Phone: 1 5044954903
  • Email: ecrull@lphi.org