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COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus

In this work, the Susceptible-Infected-Removed (SIR) epidemiological model of the COVID-19 pandemic was introduced in the Malaysia Movement Control Order (MCO). The proposed model is intended to provide accurate prescient data to the chiefs of the evaluation of general welfare and social estimates i...

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Main Author: Idrus, Nurul Asyiqin Izzani
Format: Student Project
Language:English
Published: 2022
Subjects:
Time-series analysis
Online Access:https://ir.uitm.edu.my/id/eprint/83306/2/83306.pdf
https://ir.uitm.edu.my/id/eprint/83306/
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spelling my.uitm.ir.833062023-09-22T02:50:13Z https://ir.uitm.edu.my/id/eprint/83306/ COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus Idrus, Nurul Asyiqin Izzani Time-series analysis In this work, the Susceptible-Infected-Removed (SIR) epidemiological model of the COVID-19 pandemic was introduced in the Malaysia Movement Control Order (MCO). The proposed model is intended to provide accurate prescient data to the chiefs of the evaluation of general welfare and social estimates identified with COVID-19 pestilence. The SIR model MCO shows a pinnacle of disease on 10 April 2020, in 100 dynamic cases by early July 2020, in 10 dynamic cases by end-August 2020, and almost zero daily new cases by the end week of July 2020, with a total of 6562 contaminated cases. Results suggest that the present MCO has decreased overall the quantity of the powerless population and the total number of contaminated cases. The technique used in this investigation to fit the SIR model was discovered to be accurate in mirroring the information observed in the first place. 2022 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83306/2/83306.pdf COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus. (2022) [Student Project] (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Time-series analysis
spellingShingle Time-series analysis
Idrus, Nurul Asyiqin Izzani
COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus
description In this work, the Susceptible-Infected-Removed (SIR) epidemiological model of the COVID-19 pandemic was introduced in the Malaysia Movement Control Order (MCO). The proposed model is intended to provide accurate prescient data to the chiefs of the evaluation of general welfare and social estimates identified with COVID-19 pestilence. The SIR model MCO shows a pinnacle of disease on 10 April 2020, in 100 dynamic cases by early July 2020, in 10 dynamic cases by end-August 2020, and almost zero daily new cases by the end week of July 2020, with a total of 6562 contaminated cases. Results suggest that the present MCO has decreased overall the quantity of the powerless population and the total number of contaminated cases. The technique used in this investigation to fit the SIR model was discovered to be accurate in mirroring the information observed in the first place.
format Student Project
author Idrus, Nurul Asyiqin Izzani
author_facet Idrus, Nurul Asyiqin Izzani
author_sort Idrus, Nurul Asyiqin Izzani
title COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus
title_short COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus
title_full COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus
title_fullStr COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus
title_full_unstemmed COVID-19 pandemic simulation in Perak by SIR model / Nurul Asyiqin Izzani Idrus
title_sort covid-19 pandemic simulation in perak by sir model / nurul asyiqin izzani idrus
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/83306/2/83306.pdf
https://ir.uitm.edu.my/id/eprint/83306/
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score 13.211869

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