Model: University of Arizona - UA-EpiCovDA

    Name: EpiGro Covid-19 model with Data Assimilation
    Abbreviation: UA-EpiCovDA
    Owner: covid19hub
    Team name: University of Arizona
    Description: SIR mechanistic model with data assimilation.
    Contributors: Hannah Biegel <hbiegel@math.arizona.edu> and Joceline Lega <lega@math.arizona.edu>
    License: Creative Commons Attribution 4.0
    Notes: primary
    Citation: Missing
    Methods: EpiCovDA is an extension of the EpiGro model. Model parameters are fit to Covid-19 data using a variational data assimilation method. A prior distribution of the parameters is estimated by fitting an SIR Incidence-Cumulative Cases curve to data from states that had at least 1000 cases by 04/01/2020. See <https://jocelinelega.github.io/EpiGro/> for more information about EpiGro.
    Home: https://jocelinelega.github.io/EpiGro/
    Auxiliary data: Missing

    Forecasts (25)

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