학술논문

Second quantization approach to COVID-19 epidemic
Document Type
Working Paper
Source
Biophysical Reviews and Letters Vol. 16, No. 04, pp. 143-154 (2021)
Subject
Physics - Biological Physics
Quantitative Biology - Populations and Evolution
Language
Abstract
We show how the standard field theoretical language based on creation and annihilation operators may be used for a straightforward derivation of an SIR-type stochastic model for COVID-19 epidemic, from which we obtain the time evolution of the mean number of infectious (active cases) and deceased individuals. In order to capture the effects of lockdown and social distancing, we use a time-dependent infection rate. The results are in good agreement with the data for three different waves of epidemic activity in South Korea.