scholarly journals Development and Evaluation of a Learning Level Prediction Model Based on the Growth Curve About the Long-Term Learners

2021 ◽  
Vol 33 (4) ◽  
pp. 845-859
Author(s):  
Keita MITANI ◽  
Yukinobu HOSHINO
Keyword(s):  
Prediction Model ◽  
Growth Curve ◽  
Model Based

scholarly journals Evaluation of the Effectiveness of Movement Control Order to Limit the Spread of COVID-19

2020 ◽  
Vol 4 (4) ◽  
pp. 1-9
Author(s):  
Md Amiruzzaman ◽  
M. Abdullah-Al-Wadud ◽  
Rizal Mohd Nor ◽  
Normaziah A. Aziz
Keyword(s):  
Prediction Model ◽  
Growth Curve ◽  
Growth Models ◽  
Movement Control ◽  
Logistic Growth ◽  
Model Based ◽  
Model Match ◽  
Partial Data ◽  
Control Order ◽  
Three Phases

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 depends on partial data from the COVID-19 cases in Malaysia. The model is studied on the effectiveness of the three phases of MCO implemented in Malaysia, where the model perfectly fits with the R2 value 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 helpful to control the spike in number of active COVID-19 cases and spread of COVID-19 infection growth.

scholarly journals Evaluation of the Effectiveness of Movement Control Order to Limit the Spread of COVID-19

2020 ◽  
Author(s):  
Md Amiruzzaman ◽  
M. Abdullah-Al-Wadud ◽  
Rizal Mohd Nor ◽  
Normaziah A. Aziz
Keyword(s):  
Prediction Model ◽  
Growth Curve ◽  
Growth Models ◽  
Movement Control ◽  
Logistic Growth ◽  
Model Based ◽  
Model Match ◽  
Partial Data ◽  
Control Order ◽  
Three Phases

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.

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