Model: AMM - AMM-EpiInvert

    Name: EpiInvert
    Abbreviation: AMM-EpiInvert
    Owner: covid19hub
    Team name: AMM
    Description: Learning from the past a short time forecast of the COVID-19 incidence curve trend.
    Contributors: Luis Alvarez (Universidad de Las Palmas de Gran Canaria, Spain) <lalvarez@ulpgc.es>, Jean-David Morel (Ecole Polytechnique Fédérale de Lausanne, Switzerland) <jeandavid.morel@gmail.com>, Jean-Michel Morel (Université Paris-Saclay, France) <moreljeanmichel@gmail.com>
    License: Creative Commons Attribution 4.0
    Notes: primary
    Citation: https://doi.org/10.1073/pnas.2105112118, https://doi.org/10.3390/biology11040540, https://ctim.ulpgc.es/covid19/EpiInvertForecast.html
    Methods: We design a learning procedure, EpiInvertForecast, to forecast the future trend of the daily incidence. This learning procedure is based on a database of 27,418 incidence trend curves computed in the past, with EpiInvert, using real data. The forecast of the current incidence trend is obtained from the 27,418 database curves taking into account the similarity between the current curve and the database curve in the past. We also compute empirical confidence intervals for the forecast estimationand, using the weekly seasonality computed by EpiInvert, we also estimate a forecast of the original incidence curve.
    Home: https://github.com/lalvarezmat/EpiInvert
    Auxiliary data: Missing

    Forecasts (30)

    Timezero Data Source Upload Time Issued at Version
    2020-05-05 (No data)
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    2022-09-05 2022-09-05-AMM-EpiInvert.csv 2022-09-06 00:39:04 UTC 2022-09-06 00:39:04 UTC 1 of 2
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    2022-09-26 2022-09-26-AMM-EpiInvert.csv 2022-09-26 12:38:17 UTC 2022-09-26 12:38:17 UTC 1 of 2
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    2023-01-02 2023-01-02-AMM-EpiInvert.csv 2023-01-02 12:35:49 UTC 2023-01-02 12:35:49 UTC
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    2023-01-09 2023-01-09-AMM-EpiInvert.csv 2023-01-12 00:37:19 UTC 2023-01-12 00:37:19 UTC
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    2023-01-16 2023-01-16-AMM-EpiInvert.csv 2023-01-16 18:37:55 UTC 2023-01-16 18:37:55 UTC
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    2023-01-23 2023-01-23-AMM-EpiInvert.csv 2023-01-23 12:35:53 UTC 2023-01-23 12:35:53 UTC
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    2023-01-30 2023-01-30-AMM-EpiInvert.csv 2023-01-30 12:35:31 UTC 2023-01-30 12:35:31 UTC
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    2023-02-06 2023-02-06-AMM-EpiInvert.csv 2023-02-06 18:44:51 UTC 2023-02-06 18:44:51 UTC
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    2023-02-13 2023-02-13-AMM-EpiInvert.csv 2023-02-13 18:34:22 UTC 2023-02-13 18:34:22 UTC
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    2023-02-20 2023-02-20-AMM-EpiInvert.csv 2023-02-20 18:47:07 UTC 2023-02-20 18:47:07 UTC
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