Approximate Solution of the Fractional Order Sterile Insect Technology Model via the Laplace–Adomian Decomposition Method for the Spread of Zika Virus Disease

Author:

Atokolo William1ORCID,Aja Remigius Okeke2ORCID,Aniaku Stephen Ekwueme3,Onah Ifeanyi Sunday3ORCID,Mbah Godwin C. E.3ORCID

Affiliation:

1. Department of Mathematical Sciences, Kogi State University, Anyigba, Nigeria

2. Department of Mathematics, Michael Okpara University of Agriculture, Umudike, Nigeria

3. Department of Mathematics, University of Nigeria, Nsukka, Enugu State, Nigeria

Abstract

Sterile insect technology (SIT) is an environmental-friendly method which depends on the release of sterile male mosquitoes that compete with the wild male mosquitoes and mate with wild female mosquitoes, which leads to the production of no offspring and as such reduces the population of Zika virus vector population over time, thereby eliminating the spread of Zika virus in a population. The fractional order sterile insect technology (SIT) model to reduce the spread of Zika virus disease is considered in this present work. We employed the use Laplace–Adomian decomposition method (LADM) to determine an analytical (approximate) solution of the model. The Laplace–Adomian decomposition method (LADM) produced a solution in form of an infinite series that further converges to the exact value. We compared solutions of the fractional model with the classical case using our plots and discovered that the fractional order has more degree of freedom and as such the system can be varied to get many preferred responses of the different classes of the model as the fraction (β) could be varied to the desired rate, say 0.7, 0.4, etc. We have been able to show that LADM can be used to solve an SIT model which has never been done before in literature.

Publisher

Hindawi Limited

Subject

Mathematics (miscellaneous)

Reference27 articles.

1. Modeling the impact of optimal control strategies on the dynamics of zika virus using sterile insect technology;W. Atokolo;Journal of Advances in Mathematics and Computer Science,2020

2. Zika virus from pathogenesis to diseases control;B. Luisa;FEMS Microbiology Letters,2016

3. Modeling the Control of Zika Virus Vector Population Using the Sterile Insect Technology

4. Numerical Solution of the Sterile Insect Technology model for the control of zika virus vector population;W. Atokolo;Journal of Mathematical and Computational Science,2021

5. Modelling the HIV/AIDS epidemic trends in South Africa: Insights from a simple mathematical model

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