Future of Mathematical Modelling: A Review of COVID-19 Infected Cases Using S-I-R Model
Título
Future of Mathematical Modelling: A Review of COVID-19 Infected Cases Using S-I-R Model
Autor
Azrul Azim Mohd Yunus, Arif Asraf Mohd Yunus, Muhammad Safwan Ibrahim, Shahrina Ismail
Descripción
The spread of novel coronavirus disease (COVID-19) has resulted in chaos around the globe. The infected cases are still increasing, with many countries still showing a trend of growing daily cases. To forecast the trend of active cases, a mathematical model, namely the SIR model was used, to visualize the spread of COVID-19. For this article, the forecast of the spread of the virus in Malaysia has been made, assuming that all Malaysian will eventually be susceptible. With no vaccine and antiviral drug currently developed, the visualization of how the peak of infection (namely flattening the curve) can be reduced to minimize the effect of COVID-19 disease. For Malaysians, let’s ensure to follow the rules and obey the SOP to lower the R0 value from time to time, hoping that the virus will vanish one day.
Fecha
2021
Materia
covid-19, Mathematical Modelling, SIR epidemic model
Identificador
10.21123/bsj.2021.18.1(Suppl.).0824
Fuente
Baghdad Science Journal
Editor
College of Science for Women, University of Baghdad
Cobertura
Science
Colección
Citación
Azrul Azim Mohd Yunus, Arif Asraf Mohd Yunus, Muhammad Safwan Ibrahim, Shahrina Ismail, “Future of Mathematical Modelling: A Review of COVID-19 Infected Cases Using S-I-R Model,” SOCICT Open, consulta 17 de abril de 2026, https://www.socictopen.socict.org/items/show/5669.
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