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Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia

The objective of this research is to identify severity zones for the COVID-19 outbreak in Malaysia. The technique employed for the purpose is fuzzy graph that can accommodate scarcity, quantity, and availability of data set. Two published sets of data by the Ministry of Health of Malaysia are used t...

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Main Authors: Ahmad, Tahir, Ashaari, Azmirul, Awang, Siti Rahmah, Mamat, Siti Salwana, Wan Mohamad, Wan Munirah, Ahmad Fuad, Amirul Aizad, Hassan, Nurfarhana
Format: Article
Published: Cold Spring Harbor Laboratory (CSHL) 2020
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/87237/
http://dx.doi.org/10.1101/2020.05.19.20107359
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spelling my.utm.872372020-10-31T12:26:58Z http://eprints.utm.my/id/eprint/87237/ Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia Ahmad, Tahir Ashaari, Azmirul Awang, Siti Rahmah Mamat, Siti Salwana Wan Mohamad, Wan Munirah Ahmad Fuad, Amirul Aizad Hassan, Nurfarhana Q Science (General) The objective of this research is to identify severity zones for the COVID-19 outbreak in Malaysia. The technique employed for the purpose is fuzzy graph that can accommodate scarcity, quantity, and availability of data set. Two published sets of data by the Ministry of Health of Malaysia are used to implement the technique. The obtained results can offer descriptive insight, reflection, assessment, and strategizing actions in combating the pandemic. Cold Spring Harbor Laboratory (CSHL) 2020 Article NonPeerReviewed Ahmad, Tahir and Ashaari, Azmirul and Awang, Siti Rahmah and Mamat, Siti Salwana and Wan Mohamad, Wan Munirah and Ahmad Fuad, Amirul Aizad and Hassan, Nurfarhana (2020) Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia. MedRxiv Preprint . pp. 1-14. (Unpublished) http://dx.doi.org/10.1101/2020.05.19.20107359 DOI:10.1101/2020.05.19.20107359
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Ahmad, Tahir
Ashaari, Azmirul
Awang, Siti Rahmah
Mamat, Siti Salwana
Wan Mohamad, Wan Munirah
Ahmad Fuad, Amirul Aizad
Hassan, Nurfarhana
Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia
description The objective of this research is to identify severity zones for the COVID-19 outbreak in Malaysia. The technique employed for the purpose is fuzzy graph that can accommodate scarcity, quantity, and availability of data set. Two published sets of data by the Ministry of Health of Malaysia are used to implement the technique. The obtained results can offer descriptive insight, reflection, assessment, and strategizing actions in combating the pandemic.
format Article
author Ahmad, Tahir
Ashaari, Azmirul
Awang, Siti Rahmah
Mamat, Siti Salwana
Wan Mohamad, Wan Munirah
Ahmad Fuad, Amirul Aizad
Hassan, Nurfarhana
author_facet Ahmad, Tahir
Ashaari, Azmirul
Awang, Siti Rahmah
Mamat, Siti Salwana
Wan Mohamad, Wan Munirah
Ahmad Fuad, Amirul Aizad
Hassan, Nurfarhana
author_sort Ahmad, Tahir
title Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia
title_short Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia
title_full Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia
title_fullStr Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia
title_full_unstemmed Dentification of severity zones for mitigation strategy assessment covid-19 outbreak in Malaysia
title_sort dentification of severity zones for mitigation strategy assessment covid-19 outbreak in malaysia
publisher Cold Spring Harbor Laboratory (CSHL)
publishDate 2020
url http://eprints.utm.my/id/eprint/87237/
http://dx.doi.org/10.1101/2020.05.19.20107359
_version_ 1683230712500584448
score 13.160551

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