Selected article for: "Cao et al adjoint sensitivity analysis and error loss"

Author: Raj Dandekar; George Barbastathis
Title: Quantifying the effect of quarantine control in Covid-19 infectious spread using machine learning
  • Document date: 2020_4_6
  • ID: 222c1jzv_26
    Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.03.20052084 doi: medRxiv preprint R data case count for Covid-19 was obtained from Chinese National Health Commission. The optimal values of the parameters β, γ in the SIR model and β, σ, γ in the SEIR model were obtained by performing a local adjoint sensitivity analysis (Cao et al. 2003; Rackauckas et al. 2019) of the ODE problems in these models, by minimizing the me.....
    Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.03.20052084 doi: medRxiv preprint R data case count for Covid-19 was obtained from Chinese National Health Commission. The optimal values of the parameters β, γ in the SIR model and β, σ, γ in the SEIR model were obtained by performing a local adjoint sensitivity analysis (Cao et al. 2003; Rackauckas et al. 2019) of the ODE problems in these models, by minimizing the mean square error loss function L(β, σ, γ) defined as L(β, σ, γ) = log(I(t)) − log(I data (t)) 2 + log(R(t)) − log(R data (t)) 2 (4.9)

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