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A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics
This study proposes a fractional-order mathematical model for malaria and COVID-19 co-infection using the Atangana–Baleanu Derivative. We explain the various stages of the diseases together in humans and mosquitoes, and we also establish the existence and uniqueness of the fractional order co-infect...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282943/ https://www.ncbi.nlm.nih.gov/pubmed/37361719 http://dx.doi.org/10.1016/j.health.2023.100210 |
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author | Abioye, Adesoye Idowu Peter, Olumuyiwa James Ogunseye, Hammed Abiodun Oguntolu, Festus Abiodun Ayoola, Tawakalt Abosede Oladapo, Asimiyu Olalekan |
author_facet | Abioye, Adesoye Idowu Peter, Olumuyiwa James Ogunseye, Hammed Abiodun Oguntolu, Festus Abiodun Ayoola, Tawakalt Abosede Oladapo, Asimiyu Olalekan |
author_sort | Abioye, Adesoye Idowu |
collection | PubMed |
description | This study proposes a fractional-order mathematical model for malaria and COVID-19 co-infection using the Atangana–Baleanu Derivative. We explain the various stages of the diseases together in humans and mosquitoes, and we also establish the existence and uniqueness of the fractional order co-infection model solution using the fixed point theorem. We conduct the qualitative analysis along with an epidemic indicator, the basic reproduction number R0 of this model. We investigate the global stability at the disease and endemic free equilibrium of the malaria-only, COVID-19-only, and co-infection models. We run different simulations of the fractional-order co-infection model using a two-step Lagrange interpolation polynomial approximate method with the aid of the Maple software package. The results reveal that reducing the risk of malaria and COVID-19 by taking preventive measures will reduce the risk factor for getting COVID-19 after contracting malaria and will also reduce the risk factor for getting malaria after contracting COVID-19 even to the point of extinction. |
format | Online Article Text |
id | pubmed-10282943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102829432023-06-21 A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics Abioye, Adesoye Idowu Peter, Olumuyiwa James Ogunseye, Hammed Abiodun Oguntolu, Festus Abiodun Ayoola, Tawakalt Abosede Oladapo, Asimiyu Olalekan Healthc Anal (N Y) Article This study proposes a fractional-order mathematical model for malaria and COVID-19 co-infection using the Atangana–Baleanu Derivative. We explain the various stages of the diseases together in humans and mosquitoes, and we also establish the existence and uniqueness of the fractional order co-infection model solution using the fixed point theorem. We conduct the qualitative analysis along with an epidemic indicator, the basic reproduction number R0 of this model. We investigate the global stability at the disease and endemic free equilibrium of the malaria-only, COVID-19-only, and co-infection models. We run different simulations of the fractional-order co-infection model using a two-step Lagrange interpolation polynomial approximate method with the aid of the Maple software package. The results reveal that reducing the risk of malaria and COVID-19 by taking preventive measures will reduce the risk factor for getting COVID-19 after contracting malaria and will also reduce the risk factor for getting malaria after contracting COVID-19 even to the point of extinction. The Author(s). Published by Elsevier Inc. 2023-12 2023-06-21 /pmc/articles/PMC10282943/ /pubmed/37361719 http://dx.doi.org/10.1016/j.health.2023.100210 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Abioye, Adesoye Idowu Peter, Olumuyiwa James Ogunseye, Hammed Abiodun Oguntolu, Festus Abiodun Ayoola, Tawakalt Abosede Oladapo, Asimiyu Olalekan A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics |
title | A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics |
title_full | A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics |
title_fullStr | A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics |
title_full_unstemmed | A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics |
title_short | A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics |
title_sort | fractional-order mathematical model for malaria and covid-19 co-infection dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282943/ https://www.ncbi.nlm.nih.gov/pubmed/37361719 http://dx.doi.org/10.1016/j.health.2023.100210 |
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