Cindy Zhang

University of Washington

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Uri Tabori

Hospital for Sick Children

David Malkin

Hospital for Sick Children

Pedro Castelo‐Branco

University of Algarve

Peter B. Dirks

SickKids Foundation

Tatiana Lipman

Canadian Blood Services

Melyssa Aronson

Sinai Health System

Loen M. Hansford

Children's Cancer Institute Australia

Calvin B. Harley

Murphy Oil Corporation (United States)

Melissa Edwards

Hospital for Sick Children

Robert Tressler

LifeStream

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Hospital for Sick Children

University of Toronto

SickKids Foundation

Heidelberg University

German Cancer Research Center

McGill University

University Hospital Heidelberg

Harvard University

Deutschen Konsortium für Translationale Krebsforschung

University Health Network

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

JMIR Formative Research (2022)

Natalie Flaks‐Manov Jiawei Bai Cindy Zhang Anand Malpani Stuart C. Ray

Crowdsourcing 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 participants based on their previous experience.

Crowdsourcing

Cross-sectional study

10.2196/37507

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