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

BackgroundCrowdsourcing is a useful way to rapidly collect information on COVID-19 symptoms. However, there are potential biases and data quality issues given the population that chooses to participate in crowdsourcing activities and the common strategies used to screen parti...

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Bibliographic Details

Published in:	JMIR Formative Research
Main Authors:	Natalie Flaks-Manov, Jiawei Bai, Cindy Zhang, Anand Malpani, Stuart C Ray, Casey Overby Taylor
Format:	Article
Language:	English
Published:	JMIR Publications 2022-12-01
Online Access:	https://formative.jmir.org/2022/12/e37507