Modeling the multifractal dynamics of COVID-19 pandemic

VP Tsvetkov, SA Mikheev, IV Tsvetkov… - Chaos, Solitons & …, 2022 - Elsevier
To describe the COVID-19 pandemic, we propose to use a mathematical model of
multifractal dynamics, which is alternative to other models and free of their shortcomings. It is …

[HTML][HTML] Development of algorithms for choosing the best time series models and neural networks to predict COVID-19 Cases

MSA Abotaleb, TA Makarovskikh - Вестник Южно-Уральского …, 2021 - cyberleninka.ru
Time series analysis became one of the most investigated fields of knowledge during
spreading of the COVID-19 around the world. The problem of modeling and forecasting …

The research of mathematical models for forecasting Covid-19 cases

MSA Abotaleb, T Makarovskikh - International Conference on …, 2021 - Springer
The world is currently facing a Covid-19 pandemic and that virus is spreading rapidly among
people, which leads to an increase in the number of infection cases and also an increase in …

Quadratic growth during the COVID-19 pandemic: merging hotspots and reinfections

A Brandenburg - Journal of Physics A: Mathematical and …, 2023 - iopscience.iop.org
The existence of an exponential growth phase during early stages of a pandemic is often
taken for granted. However, for the 2019 novel coronavirus epidemic, the early exponential …

Social Response and Measles Dynamics

AO Adebanji, F Aschl, EC Chumo, EO Owiredu… - Stats, 2023 - mdpi.com
Measles remains one of the leading causes of death among young children globally, even
though a safe and cost-effective vaccine is available. Vaccine hesitancy and social response …

Approximate solutions of the RSIR model of COVID-19 pandemic

FM Pen'kov, VL Derbov, G Chuluunbaatar… - … on Computer Science …, 2021 - Springer
Abstract The Reduced SIR (RSIR) model of COVID-19 pandemic based on a two-parameter
nonlinear first-order ordinary differential equation with retarded time argument is developed …

Modeling the multifractal dynamics of COVID-19 pandemic

VL Derbov, AA Gusev, SI Vinitsky… - Computational …, 2022 - spiedigitallibrary.org
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 …

[PDF][PDF] РАЗРАБОТКА АЛГОРИТМОВ ВЫБОРА ЛУЧШИХ МОДЕЛЕЙ ВРЕМЕННЫХ РЯДОВ И НЕЙРОННЫХ СЕТЕЙ ДЛЯ ПРОГНОЗИРОВАНИЯ СЛУЧАЕВ COVID …

МСА Аботалеб, ТА Макаровских - НАУЧНЫЙ ПОИСК, 2021 - researchgate.net
В статье исследуются модели глубокого обучения, проводится их сравнение с
линейными и нелинейными моделями (BATS, TBATS, линейный тренд Хольта, ARIMA …