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_2
Snippet: According to the reported data, a number of the COVID-19 infected cases grow up slowly at a very early stage of the epidemic spread. The next stage of growth is approximately exponential, then as saturation begins, the growth slows down to linear, and at maturity, the growth stops. Similar behaviour happens in various phenomena in physics, for example, the running coupling constants of particular theories describing phase transitions in high ener.....
Document: According to the reported data, a number of the COVID-19 infected cases grow up slowly at a very early stage of the epidemic spread. The next stage of growth is approximately exponential, then as saturation begins, the growth slows down to linear, and at maturity, the growth stops. Similar behaviour happens in various phenomena in physics, for example, the running coupling constants of particular theories describing phase transitions in high energy physics and in condensed matter physics. The renormalization group (RG) method is a successful framework, and is widely used to describe the dynamics of mentioned phenomena [13, 14] . We will use, in this work, the generalized characteristic function of the epidermic strength of the form
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