Model: IEM Health - IEM_Health-CovidProject

    Name: CovidProjections
    Abbreviation: IEM_Health-CovidProject
    Owner: epiforecasts
    Team name: IEM Health
    Description: SEIR model projections for daily incident confirmed COVID cases and deaths by using AI to fit actual cases observed.
    Contributors: Brad Suchoski (IEM) <bradley.suchoski@iem.com>, Steve Stage (IEM) <steve.stage@iem.com>, Heidi Gurung (IEM) <heidi.gurung@iem.com>, Sid Baccam (IEM) <sid.baccam@iem.com>
    License: Creative Commons Attribution 4.0
    Notes: primary
    Citation: Missing
    Methods: IEM is currently using an AI model to fit data from various sources and project new cases of COVID-19. We do not assume the average number of secondary infections (R-value) stays the same over time. Our model makes projections for over 375 individual counties in the U.S., all 50 states, the District of Columbia, 3 U.S. territories, and 32 European countries. For each jurisdiction, our model runs 4 million simulations to find the best R value that would allow the SEIR model to fit the data for confirmed cases. Our model assumes that the R value changes quite rapidly over time due to changes in human behavior. Our model uses a sliding window to fit the data and find the best R values for each of the windows.
    Home: https://iem-modeling.com/
    Auxiliary data: Missing

    Forecasts (62)

    Timezero Data Source Upload Time Issued at Version
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