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

Archivos

https://socictopen.socict.org/files/to_import/pdfs/7abe0852e85ba1cc3be455728fc4cfe9.pdf

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.

Formatos de Salida

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