Analysis of a fractional order model for HPV and CT co-infection

In this work, a fractional order model for human papillomavirus (HPV) and Chlamydia trachomatis (CT) co-infection is considered and analyzed. The existence and uniqueness of the model solutions are established through Banach and Schaefer’s fixed point theorem. The positivity and boundedness of the s...

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Main Authors: Ugochukwu K. Nwajeri, Andrew Omame, Chibueze P. Onyenegecha
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Results in Physics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379721007324
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spelling doaj-21bc60de8c124ab197b53e3fbfc5aa782021-08-28T04:44:08ZengElsevierResults in Physics2211-37972021-09-0128104643Analysis of a fractional order model for HPV and CT co-infectionUgochukwu K. Nwajeri0Andrew Omame1Chibueze P. Onyenegecha2Department of Mathematics, Federal University of Technology Owerri, NigeriaDepartment of Mathematics, Federal University of Technology Owerri, Nigeria; Corresponding author.Department of Physics, Federal University of Technology Owerri, NigeriaIn this work, a fractional order model for human papillomavirus (HPV) and Chlamydia trachomatis (CT) co-infection is considered and analyzed. The existence and uniqueness of the model solutions are established through Banach and Schaefer’s fixed point theorem. The positivity and boundedness of the solutions are also proven using Mittag-Leffler function. Furthermore, we also show that the fractional model is Ulam–Hyers–Rassias stable. In conclusion, simulation results are presented for different control strategies and various fractional parameter values (ψ). Simulations of the model reveal that the population of individuals co-infected with HPV and CT decreases with increasing HPV screening rates (Λ1and Λ2), at ψ=0.85. The CT only treatment strategy has positive population level impact on the number of infected individuals with HPV only. This strategy also has more positive population level impact on the HPV only new cases, as compared to the impact of the HPV screening strategy on CT only new cases. The population of individuals co-infected with HPV and CT decreases with increasing fractional order values ψ, when both HPV screening and CT treatment strategies are implemented.http://www.sciencedirect.com/science/article/pii/S2211379721007324Fractional derivativeStabilityHuman papillomavirusChlamydia trachomatisCo-infection
collection DOAJ
language English
format Article
sources DOAJ
author Ugochukwu K. Nwajeri
Andrew Omame
Chibueze P. Onyenegecha
spellingShingle Ugochukwu K. Nwajeri
Andrew Omame
Chibueze P. Onyenegecha
Analysis of a fractional order model for HPV and CT co-infection
Results in Physics
Fractional derivative
Stability
Human papillomavirus
Chlamydia trachomatis
Co-infection
author_facet Ugochukwu K. Nwajeri
Andrew Omame
Chibueze P. Onyenegecha
author_sort Ugochukwu K. Nwajeri
title Analysis of a fractional order model for HPV and CT co-infection
title_short Analysis of a fractional order model for HPV and CT co-infection
title_full Analysis of a fractional order model for HPV and CT co-infection
title_fullStr Analysis of a fractional order model for HPV and CT co-infection
title_full_unstemmed Analysis of a fractional order model for HPV and CT co-infection
title_sort analysis of a fractional order model for hpv and ct co-infection
publisher Elsevier
series Results in Physics
issn 2211-3797
publishDate 2021-09-01
description In this work, a fractional order model for human papillomavirus (HPV) and Chlamydia trachomatis (CT) co-infection is considered and analyzed. The existence and uniqueness of the model solutions are established through Banach and Schaefer’s fixed point theorem. The positivity and boundedness of the solutions are also proven using Mittag-Leffler function. Furthermore, we also show that the fractional model is Ulam–Hyers–Rassias stable. In conclusion, simulation results are presented for different control strategies and various fractional parameter values (ψ). Simulations of the model reveal that the population of individuals co-infected with HPV and CT decreases with increasing HPV screening rates (Λ1and Λ2), at ψ=0.85. The CT only treatment strategy has positive population level impact on the number of infected individuals with HPV only. This strategy also has more positive population level impact on the HPV only new cases, as compared to the impact of the HPV screening strategy on CT only new cases. The population of individuals co-infected with HPV and CT decreases with increasing fractional order values ψ, when both HPV screening and CT treatment strategies are implemented.
topic Fractional derivative
Stability
Human papillomavirus
Chlamydia trachomatis
Co-infection
url http://www.sciencedirect.com/science/article/pii/S2211379721007324
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