Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]

Coronavirus Disease 2019 (COVID-19) was initially reported in December 2019 in Wuhan City, China, as a result of a respiratory pandemic. Since then, the infection has spread rapidly and uncontrollably around the globe, prompting the World Health Organization (WHO) to declare it a pandemic. The study...

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Main Authors: Abu Hasan, Suzanawati, Yeong, Kin Teoh, Mohd Nasir, Diana Sirmayunie, Sharil, Nur Shamira
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perlis 2022
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Online Access:https://ir.uitm.edu.my/id/eprint/68973/1/68973.pdf
https://doi.org/10.24191/jcrinn.v7i2.322
https://ir.uitm.edu.my/id/eprint/68973/
https://doi.org/10.24191/jcrinn.v7i2.322
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Institution: Universiti Teknologi Mara
Language: English
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spelling my.uitm.ir.689732023-06-20T00:05:35Z https://ir.uitm.edu.my/id/eprint/68973/ Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.] jurnalintelek Abu Hasan, Suzanawati Yeong, Kin Teoh Mohd Nasir, Diana Sirmayunie Sharil, Nur Shamira Time-series analysis Infectious and parasitic diseases Coronavirus Disease 2019 (COVID-19) was initially reported in December 2019 in Wuhan City, China, as a result of a respiratory pandemic. Since then, the infection has spread rapidly and uncontrollably around the globe, prompting the World Health Organization (WHO) to declare it a pandemic. The study's overall objective is to imitate the COVID-19 infectious trend in Selangor. The SIR model is used to forecast infection and the course of COVID-19 diffusion and estimate the fraction of the population infected. As a result, the Susceptible, Infectious, and Recovered (SIR) model was used to accomplish the study's aims. From March 23, 2020, to June 30, 2020, 100 days of COVID-19 data were extracted from a database on the Malaysian Ministry of Health's website. The RStudio software was used to analyse data on infectious trends in this study. The SIR model is used to predict the basic reproduction ratio, , based on actual and simulated infectious trends for comparison. The value of the basic reproduction ratio for simulating the infectious trend is 2.0, and the basic reproduction ratio for modelling the infectious trend with the entire population of Selangor is 1.15429. According to the findings of this study, the reproduction ratio would affect the number of infected individuals by reducing the number of recovered individuals. The effectiveness of lockdown in preventing COVID-19 disease in Selangor was demonstrated by a significant reduction in the basic reproduction ratio. Universiti Teknologi MARA, Perlis 2022 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/68973/1/68973.pdf Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]. (2022) Jurnal Intelek <https://ir.uitm.edu.my/view/publication/Jurnal_Intelek.html>, 7 (2): 28. pp. 294-303. ISSN 2682-9223 https://doi.org/10.24191/jcrinn.v7i2.322 https://doi.org/10.24191/jcrinn.v7i2.322
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
Infectious and parasitic diseases
spellingShingle Time-series analysis
Infectious and parasitic diseases
Abu Hasan, Suzanawati
Yeong, Kin Teoh
Mohd Nasir, Diana Sirmayunie
Sharil, Nur Shamira
Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]
description Coronavirus Disease 2019 (COVID-19) was initially reported in December 2019 in Wuhan City, China, as a result of a respiratory pandemic. Since then, the infection has spread rapidly and uncontrollably around the globe, prompting the World Health Organization (WHO) to declare it a pandemic. The study's overall objective is to imitate the COVID-19 infectious trend in Selangor. The SIR model is used to forecast infection and the course of COVID-19 diffusion and estimate the fraction of the population infected. As a result, the Susceptible, Infectious, and Recovered (SIR) model was used to accomplish the study's aims. From March 23, 2020, to June 30, 2020, 100 days of COVID-19 data were extracted from a database on the Malaysian Ministry of Health's website. The RStudio software was used to analyse data on infectious trends in this study. The SIR model is used to predict the basic reproduction ratio, , based on actual and simulated infectious trends for comparison. The value of the basic reproduction ratio for simulating the infectious trend is 2.0, and the basic reproduction ratio for modelling the infectious trend with the entire population of Selangor is 1.15429. According to the findings of this study, the reproduction ratio would affect the number of infected individuals by reducing the number of recovered individuals. The effectiveness of lockdown in preventing COVID-19 disease in Selangor was demonstrated by a significant reduction in the basic reproduction ratio.
format Article
author Abu Hasan, Suzanawati
Yeong, Kin Teoh
Mohd Nasir, Diana Sirmayunie
Sharil, Nur Shamira
author_facet Abu Hasan, Suzanawati
Yeong, Kin Teoh
Mohd Nasir, Diana Sirmayunie
Sharil, Nur Shamira
author_sort Abu Hasan, Suzanawati
title Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]
title_short Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]
title_full Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]
title_fullStr Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]
title_full_unstemmed Simulation of COVID-19 trend in Selangor via SIR Model of infectious disease / Suzanawati Abu Hassan ... [et al.]
title_sort simulation of covid-19 trend in selangor via sir model of infectious disease / suzanawati abu hassan ... [et al.]
publisher Universiti Teknologi MARA, Perlis
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/68973/1/68973.pdf
https://doi.org/10.24191/jcrinn.v7i2.322
https://ir.uitm.edu.my/id/eprint/68973/
https://doi.org/10.24191/jcrinn.v7i2.322
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