Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study.
JMIR Formative Research（2022）
Abstract
We demonstrated that a crowdsourced approach was effective for collecting data to assess symptomology associated with COVID-19. Such a strategy may facilitate efficient assessments in a dynamic intersection between emerging infectious diseases, and societal and environmental changes.
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Key words
COVID-19,adverse outcomes,coronavirus,crowdsourcing,data quality,symptomology,symptoms
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