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EpiCovDA: a mechanistic COVID-19 forecasting model with data assimilation.

Hannah R Biegel1, Joceline Lega1

  • 1Department of Mathematics, University of Arizona, 617 N. Santa Rita Avenue, Tucson, AZ 85721.

Arxiv
|May 20, 2021
PubMed
Summary

A new minimalist model forecasts disease outbreaks using data assimilation and only four parameters. This computationally efficient method accurately predicts COVID-19 cases and deaths across the US and its territories.

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