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{
    "id": 196,
    "url": "https://zoltardata.com/api/model/196/",
    "project": "https://zoltardata.com/api/project/54/",
    "owner": "https://zoltardata.com/api/user/17/",
    "name": "Mechanistic GLEAM Ensemble",
    "abbreviation": "Mech",
    "description": "Team name: FluOutlook\r\nTeam members: Alessandro Vespignani, Qian Zhang, Xinyue Xiong, Mauricio Santillana, Fred Lu.\r\nData source(s): ILI Net, Athena Health\r\nMethods: This forecasting method is a fully mechanistic model based on GLEAM, an epidemic stochastic generative model. At the begining of the flu season, GLEAM seeded by four different data sources (Athena, FluNearYou, Twitter, Population) generates four different forecasts for the flu profile. At each week along the flu season, the weekly ILI Net data is utilized in GLEAM to provide adaptive weekly forecast. The four weekly forecasts are combined by Bayesian Model Averaging to form the final forecast.",
    "home_url": "https://github.com/FluSightNetwork/cdc-flusight-ensemble/tree/master/model-forecasts/component-models/FluOutlook_Mech",
    "aux_data_url": null,
    "forecasts": [
        {
            "timezero_date": "20191014",
            "data_version_date": null,
            "forecast": null
        },
        {
            "timezero_date": "20191021",
            "data_version_date": null,
            "forecast": null
        }
    ]
}