Selected article for: "epidemic size and outbreak size"

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_3
    Snippet: where n is an arbitrary constant, a is the curve's maximum value, c is the logistic growth rate or steepness of the curve, and t 0 can be thought of as a starting time at which α E (t 0 ) = a/2 n . It is worth noting that when n = 1 the strength function given in Eq.(1) is just a usual logistic one used in, for example, Refs. [10] [11] [12] . Here in the present work, we generalize such a function by considering its power-law form given in Eq.(1.....
    Document: where n is an arbitrary constant, a is the curve's maximum value, c is the logistic growth rate or steepness of the curve, and t 0 can be thought of as a starting time at which α E (t 0 ) = a/2 n . It is worth noting that when n = 1 the strength function given in Eq.(1) is just a usual logistic one used in, for example, Refs. [10] [11] [12] . Here in the present work, we generalize such a function by considering its power-law form given in Eq.(1) and estimate the size of COVID-19 epidemic outbreak in terms of the state-of-the-art RG framework.

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