Modelling of multifractal dynamics of COVID-19 pandemic
V.L. Derbov1, A.A. Gusev2, S.A. Mikheev3, I.V. Tsvetkov3, V.P. Tsvetkov3, S.I. Vinitsky2
1 Chernyshevsky Saratov State University, Russia;
2 Joint Institute for Nuclear Research, Dubna, Russia
3 Tver State University, Russia
Abstract
Mathematical models of multifractal dynamics of COVID-19 pandemic are proposed. Within the framework of these models and the finite-difference parametric nonlinear retarded equations of the reduced SIR model, (multi)fractal dimensions of various intervals of daily cases in the world and the changes in the basic reproductive number are simulated, based on the data from COVID-19 World Statistics
Speaker
Vladimir Derbov
Saratov State University
Russia
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