Accepted_test

Computation and analysis of stationary solutions of the COVID-19 infection dynamics model

by Khristichenko Michael | Nechepurenko Yuri | Grebennikov Dmitry | Bocharov Gennady | Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia | Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia | Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia | Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russia

Abstract ID: 440

Event: BGRS-abstracts

Sections: [Sym 12] Section “Mathematical immunology”

This report is devoted to the application of proposed by the authors methods for computing stationary solutions of time-delay systems, analyzing their stability and tracing them along the model parameters (analyzing dependence from the model parameters) to analyze stationary solutions of the COVID-19 infection dynamics model. Stationary solutions of the COVID-19 model corresponding to chronic forms of the disease of different severity were computed using the proposed methods. The dependence of stationary solutions of the model and their stability from the values of various model parameters was analyzed.