Annals of Emerging Technologies in Computing (AETiC). Vol. 4, No. 4, 2020. Md Amiruzzaman, M. Abdullah-Al-Wadud, Rizal Mohd Nor and Normaziah A. Aziz, "Evaluation of the Effectiveness of Movement Control Order to Limit the Spread of COVID-19”, Annals of Emerging Technologies in Computing (AETiC), Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 1-9, Vol. 4, No. 4, 1st October 2020, Published by International Association of Educators and Researchers (IAER), DOI: 10.33166/AETiC.2020.04.001, Available: http://http://aetic.theiaer.org/archive/v4/v4n4/p1.html
Annals of Emerging Technologies in Computing (AETiC). Vol. 4, No. 4, 2020. Md Amiruzzaman, M. Abdullah-Al-Wadud, Rizal Mohd Nor and Normaziah A. Aziz, "Evaluation of the Effectiveness of Movement Control Order to Limit the Spread of COVID-19”, Annals of Emerging Technologies in Computing (AETiC), Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 1-9, Vol. 4, No. 4, 1st October 2020, Published by International Association of Educators and Researchers (IAER), DOI: 10.33166/AETiC.2020.04.001, Available: http://http://aetic.theiaer.org/archive/v4/v4n4/p1.html
Annals of Emerging Technologies in Computing (AETiC). Vol. 4, No. 4, 2020. Md Amiruzzaman, M. Abdullah-Al-Wadud, Rizal Mohd Nor and Normaziah A. Aziz, "Evaluation of the Effectiveness of Movement Control Order to Limit the Spread of COVID-19”, Annals of Emerging Technologies in Computing (AETiC), Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 1-9, Vol. 4, No. 4, 1st October 2020, Published by International Association of Educators and Researchers (IAER), DOI: 10.33166/AETiC.2020.04.001, Available: http://http://aetic.theiaer.org/archive/v4/v4n4/p1.html
Annals of Emerging Technologies in Computing (AETiC). Vol. 4, No. 4, 2020. Md Amiruzzaman, M. Abdullah-Al-Wadud, Rizal Mohd Nor and Normaziah A. Aziz, "Evaluation of the Effectiveness of Movement Control Order to Limit the Spread of COVID-19”, Annals of Emerging Technologies in Computing (AETiC), Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 1-9, Vol. 4, No. 4, 1st October 2020, Published by International Association of Educators and Researchers (IAER), DOI: 10.33166/AETiC.2020.04.001, Available: http://http://aetic.theiaer.org/archive/v4/v4n4/p1.html
Abstract
This study presents a prediction model based on Logistic Growth Curve 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 depended on partial data from the COVID-19 cases in Malaysia. The model is then studied together with the effectiveness of the three phases of MCO implemented in Malaysia. Evidence from this study suggests that results of the LGC prediction model match with the progress and effectiveness of the MCO to flatten the curve, thus helped to control the spike in number of active COVID-19 cases and spread of COVID-19 infection growth.
Keywords
COVID-19; Logistic Growth Curve; prediction; evaluation; Movement Control Order
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
