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

Early Results from COVID-19 Studies (221) JMIR Theme Issue: COVID-19 Special Issue (2242) Crowdsourcing and Mechanical Turks (87) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (658) Infectious Diseases (non-STD/STI) (1289) Recruitment of Research Participants (249)

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-Manov 1 Author Orcid Image ;   Jiawei Bai 2 Author Orcid Image ;   Cindy Zhang 3 Author Orcid Image ;   Anand Malpani 3 Author Orcid Image ;   Stuart C Ray 1 Author Orcid Image ;   Casey Overby Taylor 1 Author Orcid Image
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