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Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza

The first Covid-19 case was discovered in Malaysia on the 25th of January 2020 and the infection rate continued to rise until the transition to the endemic phase on the 1st of April 2022. Covid-19 still triggers large epidemics around the globe. The objective of this research is to predict the cumul...

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Main Authors: Mohd Salleh, Syazwani, Tengku Nadzion, Tengku Farah Busyra, Mohd Riza, Abdul Latif
Format: Student Project
Language:English
Published: 2023
Subjects:
Mathematical statistics. Probabilities
Fuzzy logic
Online Access:https://ir.uitm.edu.my/id/eprint/83581/1/83581.pdf
https://ir.uitm.edu.my/id/eprint/83581/
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id my.uitm.ir.83581
record_format eprints
spelling my.uitm.ir.835812023-09-14T04:58:11Z https://ir.uitm.edu.my/id/eprint/83581/ Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza Mohd Salleh, Syazwani Tengku Nadzion, Tengku Farah Busyra Mohd Riza, Abdul Latif Mathematical statistics. Probabilities Fuzzy logic The first Covid-19 case was discovered in Malaysia on the 25th of January 2020 and the infection rate continued to rise until the transition to the endemic phase on the 1st of April 2022. Covid-19 still triggers large epidemics around the globe. The objective of this research is to predict the cumulative number of detected cases and the cumulative number of deaths. A mathematical representation of the state-space model is presented from the SIR model of the multi-wave dynamic of Covid-19. The data are taken from a real-time database of the Ministry of Health in Malaysia starting from 8th June 2022 until 14th June 2022 and are verified using MATLAB and Simulink to predict 12 weeks of the upcoming cases. Based on the simulation conducted, the results show the number of detected cases and death are increased as the number of infections detected cases existed. This result shows a positive relationship with the real-life situation. 2023 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83581/1/83581.pdf Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza. (2023) [Student Project] (Unpublished)
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 Mathematical statistics. Probabilities
Fuzzy logic
spellingShingle Mathematical statistics. Probabilities
Fuzzy logic
Mohd Salleh, Syazwani
Tengku Nadzion, Tengku Farah Busyra
Mohd Riza, Abdul Latif
Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza
description The first Covid-19 case was discovered in Malaysia on the 25th of January 2020 and the infection rate continued to rise until the transition to the endemic phase on the 1st of April 2022. Covid-19 still triggers large epidemics around the globe. The objective of this research is to predict the cumulative number of detected cases and the cumulative number of deaths. A mathematical representation of the state-space model is presented from the SIR model of the multi-wave dynamic of Covid-19. The data are taken from a real-time database of the Ministry of Health in Malaysia starting from 8th June 2022 until 14th June 2022 and are verified using MATLAB and Simulink to predict 12 weeks of the upcoming cases. Based on the simulation conducted, the results show the number of detected cases and death are increased as the number of infections detected cases existed. This result shows a positive relationship with the real-life situation.
format Student Project
author Mohd Salleh, Syazwani
Tengku Nadzion, Tengku Farah Busyra
Mohd Riza, Abdul Latif
author_facet Mohd Salleh, Syazwani
Tengku Nadzion, Tengku Farah Busyra
Mohd Riza, Abdul Latif
author_sort Mohd Salleh, Syazwani
title Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza
title_short Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza
title_full Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza
title_fullStr Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza
title_full_unstemmed Fuzzy state space modelling of COVID-19 endemic / Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion and Abdul Latif Mohd Riza
title_sort fuzzy state space modelling of covid-19 endemic / syazwani mohd salleh, tengku farah busyra tengku nadzion and abdul latif mohd riza
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/83581/1/83581.pdf
https://ir.uitm.edu.my/id/eprint/83581/
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score 13.211869

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