COVID19 spread in Malaysia using SIR model

The COVID19 pandemic had a significant impact globally. Negative impacts include the total number of losses in overall population size and economic decline. This study focuses on applying the simple Susceptible-Infected-Recovered (SIR) model to analyze COVID19 cases in Malaysia for a time span of 100 days, from 1/5/2024 up to 8/8/2024. The key parts to gain the result can be divided into two which are data collection of daily COVID19 cases in Malaysia from the website of Ministry of Health and solving the differential equations using R studio. From the SIR Model, the findings provide the estimation of transmission rate, recovery rate, and a basic reproduction number, along with the graph of trends of COVID19 in Malaysia for 100 days. From the values gained, this study aims to construct a Markov chain transition matrix to explain the disease spread more effectively