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

BACKGROUND: 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...

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Detalles Bibliográficos
Autores principales: Flaks-Manov, Natalie, Bai, Jiawei, Zhang, Cindy, Malpani, Anand, Ray, Stuart C, Taylor, Casey Overby
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746676/
https://www.ncbi.nlm.nih.gov/pubmed/36343205
http://dx.doi.org/10.2196/37507

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746676/
https://www.ncbi.nlm.nih.gov/pubmed/36343205
http://dx.doi.org/10.2196/37507

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