This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (309) JMIR Theme Issue: COVID-19 Special Issue (2461) Crowdsourcing and Mechanical Turks (99) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) Infectious Diseases (non-STD/STI) (1592) Recruitment of Research Participants (305)

Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37507, first published .
Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study

Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study

Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study

Authors of this article:

Natalie Flaks-Manov1 Author Orcid Image ;   Jiawei Bai2 Author Orcid Image ;   Cindy Zhang3 Author Orcid Image ;   Anand Malpani3 Author Orcid Image ;   Stuart C Ray1 Author Orcid Image ;   Casey Overby Taylor1 Author Orcid Image
Article Authors Cited by Tweetations (7) Metrics

Natalie Flaks-Manov   1 , PhD ;   Jiawei Bai   2 , PhD ;   Cindy Zhang   3 ;   Anand Malpani   3 , PhD ;   Stuart C Ray   1 , MD ;   Casey Overby Taylor   1 , PhD

1 Johns Hopkins University School of Medicine, Baltimore, MD, United States

2 Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

3 Johns Hopkins Whiting School of Engineering, Baltimore, MD, United States

Corresponding Author:

  • Casey Overby Taylor, PhD
  • Johns Hopkins University School of Medicine
  • 3101 Wyman Park Dr.
  • Baltimore, MD, 21218
  • United States
  • Phone: 1 443-287-6657
  • Email: cot@jhu.edu