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Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study.

Anjana RajanRavi N SharafRobert S BrownReem Z ShariahaBenjamin LebwohlSriHari Mahadev
Published in: JMIR public health and surveillance (2020)
Google searches for symptoms may precede the actual rises in cases and hospitalizations during pandemics. During the current COVID-19 pandemic, this study demonstrates that internet search queries for fever, cough, and diarrhea increased prior to the increased confirmed case count by available testing during the early weeks of the pandemic in the United States. While the search volumes eventually decreased significantly as the number of cases continued to rise, internet query search data may still be a useful tool at a population level to identify areas of active disease transmission at the cusp of new outbreaks.
Keyphrases
  • coronavirus disease
  • sars cov
  • healthcare
  • machine learning
  • depressive symptoms
  • physical activity
  • sleep quality
  • deep learning
  • electronic health record
  • artificial intelligence