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Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model.

Ding-Geng ChenXinguang ChenJenny K Chen
Published in: Global health research and policy (2020)
Our findings demonstrate the utility of a 5-parameter logistic growth model with reliable data that comes from a specified period during which governmental interventions were appropriately implemented. Beyond informing public health decision-making, our model adds a tool for more faithfully capturing the spread of the COVID-19 epidemic.
Keyphrases
  • public health
  • coronavirus disease
  • sars cov
  • decision making
  • electronic health record
  • deep learning