Modeling the Time-Dependent Transmission Rate Using Gaussian Pulses for Analyzing the Covid-19 Outbreaks in the World

Abstract

In this work, an SEIR epidemic model with time-dependent transmission rate parameters for the multiple waves of COVID-19 infection was investigated. It is assumed that the transmission rate is determined by the superposition of the Gaussian pulses. The interaction of these dynamics is represented by recursive equations. Analysis of the overall dynamics of disease spread is determined by the effective reproduction number Re(t) produced throughout the infection period. As a result, the development of the epidemic over time has been successfully studied and the phenomenon of multiple waves of COVID-19 infection in the world has been explained.