A vigorous study of fractional order COVID-19 model via ABC derivatives.

ABC-operator Adams–Bashforth method COVID-19 Newton polynomial Pandemic model Stability analysis

Journal

Results in physics
ISSN: 2211-3797
Titre abrégé: Results Phys
Pays: Netherlands
ID NLM: 101731363

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 09 08 2021
revised: 19 08 2021
accepted: 20 08 2021
entrez: 6 9 2021
pubmed: 7 9 2021
medline: 7 9 2021
Statut: ppublish

Résumé

The newly arose irresistible sickness known as the Covid illness (COVID-19), is a highly infectious viral disease. This disease caused millions of tainted cases internationally and still represent a disturbing circumstance for the human lives. As of late, numerous mathematical compartmental models have been considered to even more likely comprehend the Covid illness. The greater part of these models depends on integer-order derivatives which cannot catch the fading memory and crossover behavior found in many biological phenomena. Along these lines, the Covid illness in this paper is studied by investigating the elements of COVID-19 contamination utilizing the non-integer Atangana-Baleanu-Caputo derivative. Using the fixed-point approach, the existence and uniqueness of the integral of the fractional model for COVID is further deliberated. Along with Ulam-Hyers stability analysis, for the given model, all basic properties are studied. Furthermore, numerical simulations are performed using Newton polynomial and Adams Bashforth approaches for determining the impact of parameters change on the dynamical behavior of the systems.

Identifiants

pubmed: 34485028
doi: 10.1016/j.rinp.2021.104737
pii: S2211-3797(21)00806-8
pmc: PMC8401151
doi:

Types de publication

Journal Article

Langues

eng

Pagination

104737

Informations de copyright

© 2021 The Authors. Published by Elsevier B.V.

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Auteurs

Xiao-Ping Li (XP)

College of Mathematics and Information Science, Xiangnan University, Chenzhou 423000, P. R. China.

Hilal Al Bayatti (HA)

College of Computer Sciences, Applied Science University, P.O. Box 5055, Kingdom of Bahrain.

Anwarud Din (A)

Department of Mathematics, Sun Yat-sen University, Guangzhou 510275, P. R. China.

Anwar Zeb (A)

Department of Mathematics, COMSATS University Islamabad, Abbottabad, 22060, Khyber Pakhtunkhwa, Pakistan.

Classifications MeSH