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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

We then developed logistic regression models for hospitalization and mechanical ventilation as outcomes, using symptomology groups as risk factors. Finally, we developed a logistic regression model for each symptomology group to identify the significant risk factors for hospitalization among individuals with different symptomology. All analyses were performed using R version 3.6.2 (R Foundation for Statistical Computing).

Natalie Flaks-Manov, Jiawei Bai, Cindy Zhang, Anand Malpani, Stuart C Ray, Casey Overby Taylor

JMIR Form Res 2022;6(12):e37507