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Mathematical analysis of a new nonlinear dengue epidemic model via deterministic and fractional approach

Authors :
Yu Gu
Mohabat Khan
Rahat Zarin
Amir Khan
Abdullahi Yusuf
Usa Wannasingha Humphries
Source :
Alexandria Engineering Journal, Vol 67, Iss , Pp 1-21 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

We developed a dengue epidemic model by considering hospitalized class and harmonic mean incidence rate. A qualitative study of the proposed model was conducted. The Basic reproduction number, and local and global stability are established. The highly dominant parameters on basic reproduction number R0 have been found by sensitivity analysis. NSFD and RK-4 schemes are used for numerical solutions. Furthermore, this manuscript considers the novel fractional-order operator developed by Atangana-Baleanu for transmission dynamics of the Dengue epidemic. Assuming the importance of the non-local Atangana-Baleanu fractional-order approach, the transmission mechanism of Dengue has been investigated while taking into account different phases of infection and various transmission routes of the disease. To conduct the proposed study, first of all, we shall formulate the model by using the classical operator of ordinary derivatives. We utilize the fractional order derivative and the model will be extended to a model containing fractional order derivatives. The operator being used is the fractional differential operator and has fractional order Φ1. The approach of newton’s polynomial is considered and a new numerical scheme is developed which helped in presenting an iterative process for the proposed ABC system. Based on this scheme, sample curves are obtained for various values of Φ1 and a pattern is derived between the dynamics of the infection and the order of the derivative.

Details

Language :
English
ISSN :
11100168
Volume :
67
Issue :
1-21
Database :
Directory of Open Access Journals
Journal :
Alexandria Engineering Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.9453735576264ac69a1601e1a6a4ae7c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.aej.2022.10.057