Model: COVID-19 Simulator - Covid19Sim-Simulator

    Name: Simulator
    Abbreviation: Covid19Sim-Simulator
    Owner: covid19hub
    Team name: COVID-19 Simulator
    Description: An interactive tool developed by researchers at Mass General Hospital, Harvard Medical School, Georgia Tech and Boston Medical Center to inform COVID-19 intervention policy decisions in the US.
    Contributors: Jagpreet Chhatwal <jagchhatwal@mgh.harvard.edu>, Turgay Ayer <ayer@isye.gatech.edu>, Benjamin Linas <Benjamin.Linas@bmc.org>, Ozden Dalgic <ozden.onur.dalgic@gmail.com>, Peter Mueller <PCMUELLER@mgh.harvard.edu>, Madeline Adee <MADEE@mgh.harvard.edu>, Mary Ann (M.A.) Ladd <maladd@mgh-ita.org>, Jade Xiao <yxiao348@gatech.edu>
    License: Creative Commons Attribution Non-Commercial 4.0
    Notes: primary
    Citation: Missing
    Methods: The COVID-19 Simulator uses a validated compartment model to simulate the trajectory of COVID-19 at the state level from March 15, 2020 to August 31, 2020 in the United States. Utilizing the most recent data for each state, the COVID-19 Simulator considers state-specific disease spread dynamics. Specifically, to reproduce the observed trends and project future cases of COVID-19, time-varying and state-specific effective reproductive numbers are estimated and fed as inputs into a compartment model. The compartment model is defined using Susceptible, Exposed, Infectious, and Recovered compartments (i.e., SEIR model) with continuous time progression. Model programming and analysis were performed in R (version 3.6.2), and the package deSolve was used to solve the ordinary differential equation system.
    Home: https://covid19sim.org/
    Auxiliary data: Missing

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