Covid-19 Simulation in Malaysia Based on Susceptible-Infected-Recovered (SIR) Mathematical Model

  • Nurizatul Syarfinas Ahmad Bakhtiar UiTM CAWANGAN PERLIS
  • Nur Fatihah Fauzi UiTM CAWANGAN PERLIS
  • Nur Izzati Khairudin UiTM CAWANGAN PERLIS
  • Huda Zuhrah Ab Halim

Abstract

The outbreak of Covid-19 in Wuhan in December 2019 shocked the world. After almost two years, Malaysia's Prime Minister announced in March 2022 that Malaysia was transitioning into the endemic phase of the disease on 1 April 2022. This study aims to investigate the spread of Covid-19 in Malaysia during the endemic phase by developing a susceptible-infected-recovered (SIR) model. The model was used to analyze the reproductive number based on the current number of infected individuals in Malaysia. The results indicate that the maximum number of infected individuals was reached within 50 days after the announcement of the endemic phase. The SIR model confirmed the endemic phase with a reproductive number of 5.1, which is greater than 0. The study also explored the impact of an increase or decrease in the transmission rate on the number of infected individuals during the endemic phase. The simulation results showed that the peak number of infected individuals was initially projected to be 16,540,000 persons on day-21, and this number was directly proportional to changes in the infected population. By formulating a mathematical model and analyzing the stability of its equilibria, the study provides a framework for understanding the dynamics of Covid-19 transmission in Malaysia. This can help policymakers and healthcare professionals to develop more effective interventions and strategies to manage the disease

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Published
2023-05-05
How to Cite
AHMAD BAKHTIAR, Nurizatul Syarfinas et al. Covid-19 Simulation in Malaysia Based on Susceptible-Infected-Recovered (SIR) Mathematical Model. Mathematical Sciences and Informatics Journal, [S.l.], v. 4, n. 1, p. 23-32, may 2023. ISSN 2735-0703. Available at: <https://myjms.mohe.gov.my/index.php/mij/article/view/19380>. Date accessed: 28 feb. 2024. doi: https://doi.org/10.24191/mij.v4i1.19380.
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