Paper
29 April 2022 Modeling the multifractal dynamics of COVID-19 pandemic
V. L. Derbov, A. A. Gusev, S. I. Vinitsky, S. A. Mikheev, I. V. Tsvetkov, V. P. Tsvetkov
Author Affiliations +
Proceedings Volume 12194, Computational Biophysics and Nanobiophotonics; 121940H (2022) https://doi.org/10.1117/12.2626353
Event: XXV Annual Conference Saratov Fall Meeting 2021; and IX Symposium on Optics and Biophotonics, 2021, Saratov, Russian Federation
Abstract
We propose a mathematical model for the multifractal dynamics of COVID-19 pandemic. Within this model and the finite-difference parametric nonlinear equations of the reduced SIR (Susceptible-Infected-Removed) model we calculate the fractal dimensions of various segments of daily disease incidence in the world and the variations of COVID-19 basic reproduction number based on the COVID-19 World Statistics data.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. L. Derbov, A. A. Gusev, S. I. Vinitsky, S. A. Mikheev, I. V. Tsvetkov, and V. P. Tsvetkov "Modeling the multifractal dynamics of COVID-19 pandemic", Proc. SPIE 12194, Computational Biophysics and Nanobiophotonics, 121940H (29 April 2022); https://doi.org/10.1117/12.2626353
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KEYWORDS
Fractal analysis

Mathematical modeling

Data modeling

Dynamical systems

Statistical analysis

Heart

Picosecond phenomena

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