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
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