Amiruzzaman, Md and Al Wadud, M. Abdullah and Mohd Nor, Rizal and Abdul Aziz, Normaziah (2020) Evaluation of the Effectiveness of Movement Control Order to Limit the Spread of COVID-19. Annals of Emerging Technologies in Computing (AETiC), 4 (4). pp. 1-9. ISSN 2516-0281 E-ISSN 2516-029X
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Abstract
This study presents a prediction model based on Logistic Growth Curve(LGC)to evaluate the effectiveness of Movement Control Order (MCO) on COVID-19 pandemic spread. The evaluation assesses and predicts the growth models. The estimated model is a forecast-based model that dependson partial data from the COVID-19 cases in Malaysia. The model is studiedon the effectiveness of the three phases of MCO implemented in Malaysia, where the model perfectly fits with the R2value 0.989. Evidence from this study suggests that results of the prediction model match with the progress and effectiveness of the MCO to flatten the curve, and thus is helpfulto control the spike in number of active COVID-19 cases and spread of COVID-19 infection growth.
Item Type: | Article (Journal) |
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Additional Information: | 5505/87441 |
Uncontrolled Keywords: | COVID-19, Evaluation, Logistic Growth Curve, Movement Control Order, Prediction |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
Depositing User: | Dr. Normaziah Abdul Aziz |
Date Deposited: | 31 Dec 2020 11:16 |
Last Modified: | 16 Jan 2021 14:54 |
URI: | http://irep.iium.edu.my/id/eprint/87441 |
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