Modeling the multifractal dynamics of COVID-19 pandemic

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 SPIE.

Авторы
Derbov V.L. 1 , Gusev A.A. 2 , Vinitsky S.I. 2, 3 , Mikheev S.A. 4 , Tsvetkov I.V. 4 , Tsvetkov V.P. 4
Сборник материалов конференции
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Издательство
SPIE
Язык
Английский
Статус
Опубликовано
DOI
10.1117/12.2626353
Номер
121940H
Том
12194
Год
2022
Организации
  • 1 Chernyshevsky Saratov National Research State University, Saratov, 410012, Russian Federation
  • 2 Joint Institute for Nuclear Research, Dubna, 141980, Russian Federation
  • 3 Peoples’ Friendship University of Russia (RUDN University), Moscow, 117198, Russian Federation
  • 4 Tver State University, 33, Zhelyabova St., Tver, 170100, Russian Federation
Ключевые слова
COVID-19 pandemic; finite-difference parametric nonlinear equations; mathematical model; multifractal dynamics; reduced SIR model; Susceptible-Infected-Removed
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