Estimation of SIRM Model's Nonstationary Parameters of COVID-19 in Czech Rebuplic

This paper is a comprehensive study dedicated to practical solution of estimation problems in models of the spread of infectious diseases. Mentioned algorithms of parameters' estimation make possible to build mathematical models of the spread of infectious diseases based on observations. The results of analysis of the approach to mathematical modeling of the spread of infectious diseases are given in this paper, in particular simulation models and estimation methods in models of population dynamics. Computer simulation for analysis of COVID-19 pandemic in Czech Republic demonstrates efficiency o f t he mentioned algorithm. © 2022 IEEE.