Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study
BackgroundFor an emergent pandemic, such as COVID-19, the statistics of symptoms based on hospital data may be biased or delayed due to the high proportion of asymptomatic or mild-symptom infections that are not recorded in hospitals. Meanwhile, the difficulty in accessing large-scale clinical data...
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| Main Authors: | , , , , , , |
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| Format: | Book |
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JMIR Publications,
2023-03-01T00:00:00Z.
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A1234.567 |
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