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Predicting COVID-19 county-level case number trend by combining demographic characteristics and social distancing policies.

Megan Mun LiAnh PhamTsung-Ting Kuo
Published in: JAMIA open (2022)
The findings of this study suggest the predictive power of diverse features, especially when combined, in predicting county-level trends of COVID-19 cases and can be helpful to individuals in making their daily decisions. Our results may guide future studies to consider more features interdependently from conventionally distinct data sources in county-level predictive models. Our code is available at: https://doi.org/10.5281/zenodo.6332944.
Keyphrases
  • coronavirus disease
  • sars cov
  • public health
  • healthcare
  • mental health
  • electronic health record
  • physical activity
  • current status
  • drinking water
  • machine learning
  • artificial intelligence