Model: University of Virginia, Biocomplexity COVID-19 Response Team - UVA-Ensemble

    Name: Ensemble model
    Abbreviation: UVA-Ensemble
    Owner: covid19hub
    Team name: University of Virginia, Biocomplexity COVID-19 Response Team
    Description: An ensemble of multiple methods such as auto-regressive (AR) models with exogenous variables, Long short-term memory (lSTM) models, and PatchSim (an SEIR model).
    Contributors: Aniruddha Adiga (UVA)<aniruddha@virginia.edu>, Lijing Wang(UVA), Srinivasan Venkatramanan (UVA), Akhil Sai Peddireddy (UVA), Benjamin Hurt (UVA), Bryan Lewis (UVA), Madhav Marathe (UVA), Jiangzhou Chen, Anil Vullikanti.
    License: Creative Commons Attribution 4.0
    Notes: primary
    Citation: Missing
    Methods: This is a US county-level multi-method model forecasting the new confirmed cases. Multiple methods include AR methods with exogenous variables such as mobility, other county case counts time-series, an LSTM model with mobility data as additional predictor, and PatchSim, variant of SEIR with interaction between counties modeled using commuter data (model calibrated on new confirmed cases). The model forecasts are combined using Bayesian model averaging.
    Home: https://biocomplexity.virginia.edu/
    Auxiliary data: Missing

    Forecasts (15)

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