Selected article for: "epidemic initial phase and initial phase"
Author: Chakrit Pongkitivanichkul; Daris Samart; Takol Tangphati; Phanit Koomhin; Pimchanok Pimton; Punsiri Dam-O; Apirak Payaka; Phongpichit Channuie
Title: Estimating the size of COVID-19 epidemic outbreak
  • Document date: 2020_3_31
    • ID: auzioqyz_17
    Snippet: Compared with n = 1, the RG-inspired logistic model with n = 1 is again a slightly better fit to data, and the prediction of the size of the outbreak is lower than that of n = 1. The values of the model parameters with estimated errors are given in TABLE I. The values of n in RG-inspired logistic model represent asymmetry in the logistic function. When n < 1, initial phase of the epidemic is slower than that observed in the normal logistic functi.....
    Document: Compared with n = 1, the RG-inspired logistic model with n = 1 is again a slightly better fit to data, and the prediction of the size of the outbreak is lower than that of n = 1. The values of the model parameters with estimated errors are given in TABLE I. The values of n in RG-inspired logistic model represent asymmetry in the logistic function. When n < 1, initial phase of the epidemic is slower than that observed in the normal logistic function (n = 1) see Fig.4 .

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