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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| Principais autores: | , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
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JMIR Publications
2022-12-01
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| 叢編: | JMIR Formative Research |
| 在線閱讀: | https://formative.jmir.org/2022/12/e37507 |
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