A fractal–fractional order model for exploring the dynamics of Monkeypox disease
| dc.contributor.author | Wireko, Fredrick Asenso | |
| dc.contributor.author | Adu, Isaac Kwasi | |
| dc.contributor.author | Sebil, Charles | |
| dc.contributor.author | Asamoah, Joshua Kiddy K. | |
| dc.contributor.orcid | 0000-0002-7066-246X | |
| dc.date.accessioned | 2024-11-20T15:11:42Z | |
| dc.date.available | 2024-11-20T15:11:42Z | |
| dc.date.issued | 2023-08 | |
| dc.description | This article is published by Elsevier 2023 and is also available at https://doi.org/10.1016/j.dajour.2023.100300 | |
| dc.description.abstract | This study explores the biological behaviour of the Monkeypox disease using a fractal–fractional operator. We discuss the existence and uniqueness of the solution of the model using the fixed-point concept. We further show that the Monkeypox fractal–fractional model is stable through the Hyers–Ulam and Hyers–Ulam Rassias stability criteria. The epidemiological threshold of the model is obtained. The numerical simulation for the proposed model is obtained using the Newton polynomial. For instance, the disease dies out at lower fractional values. We investigated the effects of some key parameters on the dynamics of the disease. The variation of the parameters shows that quarantine and isolation are effective approaches to managing, controlling, or eradicating the Monkeypox disease. | |
| dc.description.sponsorship | KNUST | |
| dc.identifier.citation | Decision Analytics Journal 8 (2023) 100300 | |
| dc.identifier.uri | https://doi.org/10.1016/j.dajour.2023.100300 | |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/15980 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.title | A fractal–fractional order model for exploring the dynamics of Monkeypox disease | |
| dc.type | Article |