Model: epiMOX - epiMOX-SUIHTER

    Name: SUIHTER
    Abbreviation: epiMOX-SUIHTER
    Owner: epiforecasts
    Team name: epiMOX
    Description: Compartmental model SUIHTER
    Contributors: Giovanni Ardenghi (Politecnico di Milano) <giovanni.ardenghi@polimi.it>, Luca Dede' (Politecnico di Milano) <luca.dede@polimi.it>, Nicola Parolini (Politecnico di Milano) <nicola.parolini@polimi.it>, Alfio Quarteroni (Politecnico di Milano, EPFL) <alfio.quarteroni@polimi.it>
    License: MIT
    Notes: primary
    Citation: https://arxiv.org/abs/2101.03369
    Methods: The results are obtained using the compartmental model SUIHTER which simulates the evolution of COVID-19 epidemic in Italy. SUIHTER comprises the following compartments: Susceptibles(S), Undetected(U), Isolated(I), Hospitalized(H), Threatened(T), Extinct(E), Recovered(R). The model parameters are calibrated thanks to a combination of the least squares method with the Markov Chain Monte Carlo (MCMC) method. The current version of the model accounts for two additional compartments collecting individuals who have received the first and the second dose of vaccine, respectively. Different NPIs and vaccination scenarios can be accounted for in the model forecast.
    Home: https://www.epimox.polimi.it
    Auxiliary data: Missing

    Forecasts (30)

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