On the fractal-fractional Mittag-Leffler model of a COVID-19 and Zika Co-infection
| dc.contributor.author | Rezapour, Shahram | |
| dc.contributor.author | Asamoah, Joshua Kiddy K. | |
| dc.contributor.author | Etemad, Sina | |
| dc.contributor.author | Akgül, Ali | |
| dc.contributor.author | Avcı, İbrahim | |
| dc.contributor.author | Din, Sayed M. El | |
| dc.contributor.orcid | 0000-0002-7066-246X | |
| dc.date.accessioned | 2024-11-20T14:57:55Z | |
| dc.date.available | 2024-11-20T14:57:55Z | |
| dc.date.issued | 2023-11 | |
| dc.description | This article is published by Elsevier 2023 and is also available at https://doi.org/10.1016/j.rinp.2023.107118 | |
| dc.description.abstract | The World Health Organization declared COVID-19 a global pandemic in March 2020, which had a significant impact on global health and economies. There have been several Zika outbreaks in different regions such as Africa, Southeast Asia, and the Americas. Therefore, it is essential to study the dynamics of these two diseases, taking into account their memory and recurrence effects. A new fractal-fractional hybrid Mittag-Leffler model of COVID-19 and Zika co-dynamics is designed and studied to evaluate the effects of COVID-19 on Zika and vice-versa. The stability analysis of the local asymptotic type at disease-free equilibrium is conducted for the hybrid model. The existence of unique solutions to the model is established via some fixed point results. The fractal-fractional model is proved to be Hyers–Ulam stable. With the help of Newton polynomials, we obtain some numerical algorithms to approximate the solutions of the fractal-fractional hybrid Mittag-Leffler model graphically. The impact of fractional and fractal orders on the dynamics of each of the epidemiological classes is also assessed. In addition, empirical evidence from numerical simulations suggests that implementing measures to contain the transmission of the SARS-CoV-2 virus can significantly contribute to the reduction of co-infections involving the Zika virus. Therefore, it is imperative for healthcare systems to maintain a state of constant vigilance in order to detect any atypical patterns or probable occurrences of co-infections, particularly in areas where both diseases are widespread. Additionally, it is vital to consult the most recent directives provided by health authorities, as our comprehension of diseases may undergo advancements over the course of time. | |
| dc.description.sponsorship | KNUST | |
| dc.identifier.citation | Results in Physics 55 (2023) 107118 | |
| dc.identifier.uri | https://doi.org/10.1016/j.rinp.2023.107118 | |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/15979 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.title | On the fractal-fractional Mittag-Leffler model of a COVID-19 and Zika Co-infection | |
| dc.type | Article |