SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.]
This study addresses a research gap by introducing fractional order derivatives into the SIR model for tracking COVID-19 in Malaysia. The Caputo sense fractional derivative and the Adams Bashforth Moulton method are employed to analyse the COVID-19 behavior and stability. By manipulating fractional...
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Universiti Teknologi MARA
2024
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my.uitm.ir.619602024-04-18T08:45:05Z https://ir.uitm.edu.my/id/eprint/61960/ SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.] mjoc Sadikin, Zubaidah Md Ali, Zaileha Rusly, Fatin Nadira Abu Hassan, Nuramira Husna Batcha, Siti Rahimah Nordin, Noratika Public health. Hygiene. Preventive Medicine This study addresses a research gap by introducing fractional order derivatives into the SIR model for tracking COVID-19 in Malaysia. The Caputo sense fractional derivative and the Adams Bashforth Moulton method are employed to analyse the COVID-19 behavior and stability. By manipulating fractional order derivative values, this study investigates their impact on key SIR parameters, observing that lower values accelerate the attainment of asymptotic behavior in populations. The stability analysis reveals two equilibrium points: an unstable disease-free equilibrium and a stable endemic equilibrium within the system. This pioneering exploration of fractional order derivatives in the context of Malaysia's COVID-19 modeling contributes valuable insights, enhancing our understanding the behavior of the disease. Universiti Teknologi MARA 2024-04 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/61960/1/61960.pdf SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.]. (2024) Malaysian Journal of Computing (MJoC) <https://ir.uitm.edu.my/view/publication/Malaysian_Journal_of_Computing_=28MJoC=29/>, 9 (1): 3. pp. 1690-1705. ISSN 2600-8238 |
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Public health. Hygiene. Preventive Medicine Sadikin, Zubaidah Md Ali, Zaileha Rusly, Fatin Nadira Abu Hassan, Nuramira Husna Batcha, Siti Rahimah Nordin, Noratika SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.] |
description |
This study addresses a research gap by introducing fractional order derivatives into the SIR model for tracking COVID-19 in Malaysia. The Caputo sense fractional derivative and the Adams Bashforth Moulton method are employed to analyse the COVID-19 behavior and stability. By manipulating fractional order derivative values, this study investigates their impact on key SIR parameters, observing that lower values accelerate the attainment of asymptotic behavior in populations. The stability analysis reveals two equilibrium points: an unstable disease-free equilibrium and a stable endemic equilibrium within the system. This pioneering exploration of fractional order derivatives in the context of Malaysia's COVID-19 modeling contributes valuable insights, enhancing our understanding the behavior of the disease. |
format |
Article |
author |
Sadikin, Zubaidah Md Ali, Zaileha Rusly, Fatin Nadira Abu Hassan, Nuramira Husna Batcha, Siti Rahimah Nordin, Noratika |
author_facet |
Sadikin, Zubaidah Md Ali, Zaileha Rusly, Fatin Nadira Abu Hassan, Nuramira Husna Batcha, Siti Rahimah Nordin, Noratika |
author_sort |
Sadikin, Zubaidah |
title |
SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.] |
title_short |
SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.] |
title_full |
SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.] |
title_fullStr |
SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.] |
title_full_unstemmed |
SIR fractional order of COVID-19 by Adams Bashforth-Moulton method / Zubaidah Sadikin ... [et al.] |
title_sort |
sir fractional order of covid-19 by adams bashforth-moulton method / zubaidah sadikin ... [et al.] |
publisher |
Universiti Teknologi MARA |
publishDate |
2024 |
url |
https://ir.uitm.edu.my/id/eprint/61960/1/61960.pdf https://ir.uitm.edu.my/id/eprint/61960/ |
_version_ |
1797924681262563328 |
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13.251813 |