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

Early Results from COVID-19 Studies (299) JMIR Theme Issue: COVID-19 Special Issue (2452) Crowdsourcing and Mechanical Turks (98) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Infectious Diseases (non-STD/STI) (1575) Recruitment of Research Participants (296)

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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.