SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method
Fractional order derivative has been widely used in many different areas such as bioengineering, fluid mechanics, circuits systems, biomathematics, and biomedicine. This study introduces the system of the fractional differential equation on SIR (Susceptible-Infected-Recovered) model to simulate the...
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2024
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2-s2.0-85189012225 Ali Z.M.; Rusly F.N.; Hassan N.H.A.; Idris N.A.M.; Batcha S.R.; Sadikin Z. SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method 2024 Journal of Advanced Research in Applied Sciences and Engineering Technology 42 1 10.37934/araset.42.1.8292 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189012225&doi=10.37934%2faraset.42.1.8292&partnerID=40&md5=bd75b1659741872e66ab6952814c7e68 Fractional order derivative has been widely used in many different areas such as bioengineering, fluid mechanics, circuits systems, biomathematics, and biomedicine. This study introduces the system of the fractional differential equation on SIR (Susceptible-Infected-Recovered) model to simulate the COVID-19 in Malaysia. The fractional derivative is described in Caputo sense and solved by the Adams Bashforth Moulton method. The Runge-Kutta method is used to prove and validate the numerical results obtained. The graphical representations of the simulation with difference fractional order have been presented. The derivative order, a with values more than 0.5 are acceptable and reliable. © 2024, Semarak Ilmu Publishing. All rights reserved. Semarak Ilmu Publishing 24621943 English Article All Open Access; Hybrid Gold Open Access |
author |
Ali Z.M.; Rusly F.N.; Hassan N.H.A.; Idris N.A.M.; Batcha S.R.; Sadikin Z. |
spellingShingle |
Ali Z.M.; Rusly F.N.; Hassan N.H.A.; Idris N.A.M.; Batcha S.R.; Sadikin Z. SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method |
author_facet |
Ali Z.M.; Rusly F.N.; Hassan N.H.A.; Idris N.A.M.; Batcha S.R.; Sadikin Z. |
author_sort |
Ali Z.M.; Rusly F.N.; Hassan N.H.A.; Idris N.A.M.; Batcha S.R.; Sadikin Z. |
title |
SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method |
title_short |
SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method |
title_full |
SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method |
title_fullStr |
SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method |
title_full_unstemmed |
SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method |
title_sort |
SIR Fractional Order of Simulated Covid-19 Cases using Adams Bashforth-Moulton Method |
publishDate |
2024 |
container_title |
Journal of Advanced Research in Applied Sciences and Engineering Technology |
container_volume |
42 |
container_issue |
1 |
doi_str_mv |
10.37934/araset.42.1.8292 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189012225&doi=10.37934%2faraset.42.1.8292&partnerID=40&md5=bd75b1659741872e66ab6952814c7e68 |
description |
Fractional order derivative has been widely used in many different areas such as bioengineering, fluid mechanics, circuits systems, biomathematics, and biomedicine. This study introduces the system of the fractional differential equation on SIR (Susceptible-Infected-Recovered) model to simulate the COVID-19 in Malaysia. The fractional derivative is described in Caputo sense and solved by the Adams Bashforth Moulton method. The Runge-Kutta method is used to prove and validate the numerical results obtained. The graphical representations of the simulation with difference fractional order have been presented. The derivative order, a with values more than 0.5 are acceptable and reliable. © 2024, Semarak Ilmu Publishing. All rights reserved. |
publisher |
Semarak Ilmu Publishing |
issn |
24621943 |
language |
English |
format |
Article |
accesstype |
All Open Access; Hybrid Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677770023763968 |