Mathematical model of COVID-19 transmission using the fractional-order differential equation

The purpose of this paper is to develop the Coronavirus disease (COVID-19) transmission model using the fractional-order differential equation defined by Caputo. This model is developed based on the susceptible-exposed-infected-recovered model, commonly known as the SEIR model. The basic reproductio...

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Published in:AIP Conference Proceedings
Main Author: Hamdan N.'I.; Kechil S.A.
Format: Conference paper
Language:English
Published: American Institute of Physics Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182563556&doi=10.1063%2f5.0171649&partnerID=40&md5=f51933a8cf037a97186048c20a3cab3f
id 2-s2.0-85182563556
spelling 2-s2.0-85182563556
Hamdan N.'I.; Kechil S.A.
Mathematical model of COVID-19 transmission using the fractional-order differential equation
2024
AIP Conference Proceedings
2905
1
10.1063/5.0171649
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182563556&doi=10.1063%2f5.0171649&partnerID=40&md5=f51933a8cf037a97186048c20a3cab3f
The purpose of this paper is to develop the Coronavirus disease (COVID-19) transmission model using the fractional-order differential equation defined by Caputo. This model is developed based on the susceptible-exposed-infected-recovered model, commonly known as the SEIR model. The basic reproduction number, denoted by R0, is computed using the next-generation matrix method. The disease-free equilibrium point is evaluated, and local stability analysis is performed. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R0<1 and unstable when R0>1. In other words, the COVID-19 disease can be eliminated when R0< 1. Finally, numerical results are presented based on the real data of COVID-19 cases in Malaysia. © 2024 Author(s).
American Institute of Physics Inc.
0094243X
English
Conference paper

author Hamdan N.'I.; Kechil S.A.
spellingShingle Hamdan N.'I.; Kechil S.A.
Mathematical model of COVID-19 transmission using the fractional-order differential equation
author_facet Hamdan N.'I.; Kechil S.A.
author_sort Hamdan N.'I.; Kechil S.A.
title Mathematical model of COVID-19 transmission using the fractional-order differential equation
title_short Mathematical model of COVID-19 transmission using the fractional-order differential equation
title_full Mathematical model of COVID-19 transmission using the fractional-order differential equation
title_fullStr Mathematical model of COVID-19 transmission using the fractional-order differential equation
title_full_unstemmed Mathematical model of COVID-19 transmission using the fractional-order differential equation
title_sort Mathematical model of COVID-19 transmission using the fractional-order differential equation
publishDate 2024
container_title AIP Conference Proceedings
container_volume 2905
container_issue 1
doi_str_mv 10.1063/5.0171649
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182563556&doi=10.1063%2f5.0171649&partnerID=40&md5=f51933a8cf037a97186048c20a3cab3f
description The purpose of this paper is to develop the Coronavirus disease (COVID-19) transmission model using the fractional-order differential equation defined by Caputo. This model is developed based on the susceptible-exposed-infected-recovered model, commonly known as the SEIR model. The basic reproduction number, denoted by R0, is computed using the next-generation matrix method. The disease-free equilibrium point is evaluated, and local stability analysis is performed. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R0<1 and unstable when R0>1. In other words, the COVID-19 disease can be eliminated when R0< 1. Finally, numerical results are presented based on the real data of COVID-19 cases in Malaysia. © 2024 Author(s).
publisher American Institute of Physics Inc.
issn 0094243X
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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