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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American Institute of Physics Inc.
2024
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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 |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1809677883934769152 |