Selected article for: "growth rate and logistic growth rate"

Author: Rosario Megna
Title: First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast
  • Document date: 2020_3_30
  • ID: cxmw7bfu_10
    Snippet: where ( ) is the cumulative incidence on day , is the cumulative incidence at the end of the epidemic, is the parameter that governs the flexibility of the curve, is the logistic growth rate, and 0 is the initial day of the epidemic analysis (24 Feb 2020). In order to determine the three parameters of the curve, we developed an algorithm based on the maximum statistical significance of and , according to their p-values (smaller values of pvalue i.....
    Document: where ( ) is the cumulative incidence on day , is the cumulative incidence at the end of the epidemic, is the parameter that governs the flexibility of the curve, is the logistic growth rate, and 0 is the initial day of the epidemic analysis (24 Feb 2020). In order to determine the three parameters of the curve, we developed an algorithm based on the maximum statistical significance of and , according to their p-values (smaller values of pvalue indicate greater significance), and varying . Nonlinear least squares (nls) function of R was used, normalizing ( ) → ( , = 1) ≡ ′. The steps of the algorithm are the following:

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