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Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics
This paper proposes a new fractal–fractional age-structure model for the omicron SARS-CoV-2 variant under the Caputo–Fabrizio fractional order derivative. Caputo–Fabrizio fractal–fractional order is particularly successful in modelling real-world phenomena due to its repeated memory effect and abili...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576209/ https://www.ncbi.nlm.nih.gov/pubmed/36277845 http://dx.doi.org/10.1016/j.padiff.2022.100455 |
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author | Addai, Emmanuel Zhang, Lingling Asamoah, Joshua Kiddy K. Preko, Ama Kyerewaa Arthur, Yarhands Dissou |
author_facet | Addai, Emmanuel Zhang, Lingling Asamoah, Joshua Kiddy K. Preko, Ama Kyerewaa Arthur, Yarhands Dissou |
author_sort | Addai, Emmanuel |
collection | PubMed |
description | This paper proposes a new fractal–fractional age-structure model for the omicron SARS-CoV-2 variant under the Caputo–Fabrizio fractional order derivative. Caputo–Fabrizio fractal–fractional order is particularly successful in modelling real-world phenomena due to its repeated memory effect and ability to capture the exponentially decreasing impact of disease transmission dynamics. We consider two age groups, the first of which has a population under 50 and the second of a population beyond 50. Our results show that at a population dynamics level, there is a high infection and recovery of omicron SARS-CoV-2 variant infection among the population under 50 (Group-1), while a high infection rate and low recovery of omicron SARS-CoV-2 variant infection among the population beyond 50 (Group-2) when the fractal–fractional order is varied. |
format | Online Article Text |
id | pubmed-9576209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95762092022-10-18 Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics Addai, Emmanuel Zhang, Lingling Asamoah, Joshua Kiddy K. Preko, Ama Kyerewaa Arthur, Yarhands Dissou Partial Differ Equ Appl Math Article This paper proposes a new fractal–fractional age-structure model for the omicron SARS-CoV-2 variant under the Caputo–Fabrizio fractional order derivative. Caputo–Fabrizio fractal–fractional order is particularly successful in modelling real-world phenomena due to its repeated memory effect and ability to capture the exponentially decreasing impact of disease transmission dynamics. We consider two age groups, the first of which has a population under 50 and the second of a population beyond 50. Our results show that at a population dynamics level, there is a high infection and recovery of omicron SARS-CoV-2 variant infection among the population under 50 (Group-1), while a high infection rate and low recovery of omicron SARS-CoV-2 variant infection among the population beyond 50 (Group-2) when the fractal–fractional order is varied. Published by Elsevier B.V. 2022-12 2022-10-17 /pmc/articles/PMC9576209/ /pubmed/36277845 http://dx.doi.org/10.1016/j.padiff.2022.100455 Text en © 2022 The Authors 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 Addai, Emmanuel Zhang, Lingling Asamoah, Joshua Kiddy K. Preko, Ama Kyerewaa Arthur, Yarhands Dissou Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics |
title | Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics |
title_full | Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics |
title_fullStr | Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics |
title_full_unstemmed | Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics |
title_short | Fractal–fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics |
title_sort | fractal–fractional age-structure study of omicron sars-cov-2 variant transmission dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576209/ https://www.ncbi.nlm.nih.gov/pubmed/36277845 http://dx.doi.org/10.1016/j.padiff.2022.100455 |
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