Mathematical analysis of COVID-19 disease in Malaysia using SIRS model

Authors

  • Meenakshi S Research Scholar, Research Centre and PG Department of Mathematics, The Madura College (Affiliated to Madurai Kamaraj University), Madurai, Tamil Nadu, India
  • Ananthaswamy Vembu The Madura College, Madurai, Tamil Nadu, India.
  • Anantha Jothi J Research Scholar, Research Centre and PG Department of Mathematics, The Madura College (Affiliated to Madurai Kamaraj University), Madurai, Tamil Nadu, India
  • Seenith Sivasundaram Department of Mathematics, College of Science, Engineering and Mathematics, Daytona Beach, Florida, USA

Abstract

This research analyses a prior mathematical framework that represents the COVID-19 disease epidemiology in Malaysia. The relevant three compartments that constitute the framework, such as Susceptible, Infected, as well as Recovered, are solved semi-analytically using Homotopy analysis technique and Laplace Adomian decomposition approach. The approximate analytical expressions for all of the three different compartments are provided. To show their effects, a variety of model parameter types are visually depicted. Tables are provided to demonstrate the effects of the parameters on the outcomes. With this strategy, the error approximation attains relatively small values. A satisfactory fit between the numerical simulation (MATLAB) and the approximate analytical results is obtained.

Published

2025-05-30

How to Cite

Mathematical analysis of COVID-19 disease in Malaysia using SIRS model. (2025). Nonlinear Studies, 32(2), 675-693. https://nonlinearstudies.com/index.php/nonlinear/article/view/3853