ORCID Identifiers
Document Type
Article
Source of Publication
Advances in Difference Equations
Publication Date
12-1-2021
Abstract
© 2021, The Author(s). The well-known novel virus (COVID-19) is a new strain of coronavirus family, declared by the World Health Organization (WHO) as a dangerous epidemic. More than 3.5 million positive cases and 250 thousand deaths (up to May 5, 2020) caused by COVID-19 and has affected more than 280 countries over the world. Therefore studying the prediction of this virus spreading in further attracts a major public attention. In the Arab Emirates (UAE), up to the same date, there are 14,730 positive cases and 137 deaths according to national authorities. In this work, we study a dynamical model based on the fractional derivatives of nonlinear equations that describe the outbreak of COVID-19 according to the available infection data announced and approved by the national committee in the press. We simulate the available total cases reported based on Riesz wavelets generated by some refinable functions, namely the smoothed pseudosplines of types I and II with high vanishing moments. Based on these data, we also consider the formulation of the pandemic model using the Caputo fractional derivative. Then we numerically solve the nonlinear system that describes the dynamics of COVID-19 with given resources based on the collocation Riesz wavelet system constructed. We present graphical illustrations of the numerical solutions with parameters of the model handled under different situations. We anticipate that these results will contribute to the ongoing research to reduce the spreading of the virus and infection cases.
DOI Link
ISSN
Publisher
Springer Science and Business Media LLC
Volume
2021
Issue
1
Disciplines
Medicine and Health Sciences
Keywords
Fractional differential equations, Mathematical model, Novel coronavirus, Riesz wavelet system, Smoothed pseudosplines
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Mohammad, Mutaz; Trounev, Alexander; and Cattani, Carlo, "The dynamics of COVID-19 in the UAE based on fractional derivative modeling using Riesz wavelets simulation" (2021). All Works. 4042.
https://zuscholars.zu.ac.ae/works/4042
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series