Selected article for: "daily growth and error structure"
Author: Ke Wu; Didier Darcet; Qian Wang; Didier Sornette
Title: Generalized logistic growth modeling of the COVID-19 outbreak in 29 provinces in China and in the rest of the world
  • Document date: 2020_3_16
    • ID: 9607dy2o_83
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.11.20034363 doi: medRxiv preprint Figure 5 . Calibration of three models (Generalized Logistic Model in green, Generalized Growth Model in purple and Logistic Model in blue) to data shown with empty circles for Japan. Upper panel: fitted and predicted cumulative confirmed cases. Middle panel: fitted and predicted daily incidence. The lowe.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.11.20034363 doi: medRxiv preprint Figure 5 . Calibration of three models (Generalized Logistic Model in green, Generalized Growth Model in purple and Logistic Model in blue) to data shown with empty circles for Japan. Upper panel: fitted and predicted cumulative confirmed cases. Middle panel: fitted and predicted daily incidence. The lower panel plots the daily growth rate. The fitted data is plotted every three days, and the error bar is the 95% confidence interval extracted from the 500 simulations assuming a negative binomial error structure. The fitting is based on data since Feb 12, 2020.

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