A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]

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Main Authors:	Fauzi, Nur Fatihah, Ahmad Bakhtiar, Nurizatul Syarfinas, Khairudin, Nur Izzati, Ab. Halim, Huda Zuhrah, Shafii, Nor Hayati
Format:	Article
Language:	English
Published:	UiTM Cawangan Perlis 2023
Subjects:	Probabilities Infectious and parasitic diseases
Online Access:	https://ir.uitm.edu.my/id/eprint/71277/1/71277.pdf https://doi.org/10.24191/jcrinn.v8i1.334 https://ir.uitm.edu.my/id/eprint/71277/ https://doi.org/10.24191/jcrinn.v8i1.334
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Institution:	Universiti Teknologi Mara
Language:	English

id	my.uitm.ir.71277
record_format	eprints
spelling	my.uitm.ir.712772023-07-26T09:15:02Z https://ir.uitm.edu.my/id/eprint/71277/ A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.] jcrinn Fauzi, Nur Fatihah Ahmad Bakhtiar, Nurizatul Syarfinas Khairudin, Nur Izzati Ab. Halim, Huda Zuhrah Shafii, Nor Hayati Probabilities Infectious and parasitic diseases UiTM Cawangan Perlis 2023-03 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/71277/1/71277.pdf A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]. (2023) Journal of Computing Research and Innovation (JCRINN) <https://ir.uitm.edu.my/view/publication/Journal_of_Computing_Research_and_Innovation_=28JCRINN=29/>, 8 (1): 6. pp. 75-83. ISSN 2600-8793 https://doi.org/10.24191/jcrinn.v8i1.334 https://doi.org/10.24191/jcrinn.v8i1.334
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	Probabilities Infectious and parasitic diseases
spellingShingle	Probabilities Infectious and parasitic diseases Fauzi, Nur Fatihah Ahmad Bakhtiar, Nurizatul Syarfinas Khairudin, Nur Izzati Ab. Halim, Huda Zuhrah Shafii, Nor Hayati A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]
format	Article
author	Fauzi, Nur Fatihah Ahmad Bakhtiar, Nurizatul Syarfinas Khairudin, Nur Izzati Ab. Halim, Huda Zuhrah Shafii, Nor Hayati
author_facet	Fauzi, Nur Fatihah Ahmad Bakhtiar, Nurizatul Syarfinas Khairudin, Nur Izzati Ab. Halim, Huda Zuhrah Shafii, Nor Hayati
author_sort	Fauzi, Nur Fatihah
title	A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]
title_short	A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]
title_full	A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]
title_fullStr	A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]
title_full_unstemmed	A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]
title_sort	performance of sir model in predicting the number of covid-19 cases in malaysia based on different phase of covid-19 outbreaks / nur fatihah fauzi ... [et al.]
publisher	UiTM Cawangan Perlis
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/71277/1/71277.pdf https://doi.org/10.24191/jcrinn.v8i1.334 https://ir.uitm.edu.my/id/eprint/71277/ https://doi.org/10.24191/jcrinn.v8i1.334
_version_	1772815529802727424

A performance of SIR Model in predicting the number of COVID-19 cases in Malaysia based on different phase of COVID-19 outbreaks / Nur Fatihah Fauzi ... [et al.]

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