Closed monitoring of Malaysia COVID-19 using SEIR compartmental model for first wave trajectory
| Autor: | Zulkifli Mohd Nopiah, Raja Affendi Raja Ali, Ramizi Mohamed |
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| Rok vydání: | 2021 |
| Předmět: |
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19) Computer Networks and Communications Mechanical Engineering Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Early detection Computer Graphics and Computer-Aided Design Computational Theory and Mathematics Artificial Intelligence Control and Systems Engineering Statistics Trajectory Electrical and Electronic Engineering Movement control Civil and Structural Engineering Mathematics |
| Zdroj: | International Journal of Advanced Technology and Engineering Exploration. 8:135-148 |
| ISSN: | 2394-7454 2394-5443 |
| Popis: | Malaysia COVID-19 trend trajectory has shown significant improvement since Malaysia employed Movement Control Order (MCO) on 18th Mar 2020 Since then a modified compartmental Susceptible, Exposed, Infectious and Removed (SEIR) model has been developed to monitor closely the development on the epidemic The model introduced early detection factor in order to measure the reliability of the strategy carried out The closed monitoring is to estimate the current projection of Reproduction Number (R0), a number which a single infected person could outspread the virus to other people, and to forecast in the near future of the number of active cases for several days This is to show that the strategy carried out by the Malaysian government in order to contain the outbreak whether or not has taken into effect within the period of the first wave of the outbreak The observation carried out has found out that under the Enhanced MCO (EMCO) or the second MCO showed significant reduction in the number of active cases as well as R0 Not only that the early detection strategy carried out has shown significant improvement of 2 5 to 3 6 times higher than the first MCO © 2021 Siti Daleela Mohd Wahid et al |
| Databáze: | OpenAIRE |
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