Modelling the Study of Hand, Foot and Mouth Disease Using SVEIQAR Derived Model

Authors

  • Putsadee Pornphol Department of Digital Technology, Faculty of Science and Technology, Phuket Rajabhat University, Phuket 83000, Thailand
  • Porpattama Hammachukiattikul Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket 83000, Thailand
  • Emmanuel Sabastine Department of Mathematical Sciences Federal University Lokoja, Kogi State Nigeria
  • Rajarathinam Vadivel Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket 83000, Thailand
  • Saratha Sathasivam School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Pulau Pinang, Malaysia

DOI:

https://doi.org/10.37934/araset.47.2.193212

Keywords:

HFMD, Transmission rate, Reproduction number, Vaccination, Quarantine

Abstract

This study introduces a mathematical model aimed at investigating the intricate dynamics of infectious diseases, incorporating vaccination and quarantine interventions. The model comprises a system of ordinary differential equations that delineate interactions among susceptible, infected, and recovered individuals, alongside the impacts of vaccination and quarantine measures. The disease transmission rate is contingent on the count of infected, asymptomatic, and quarantined individuals. The model undergoes a comprehensive analysis to ascertain pivotal equilibrium points—disease-free and endemic. Additionally, the stability of these equilibria is rigorously examined to discern their resilience in the presence of interventions. Furthermore, the model serves as a strategic tool for crafting effective disease control strategies. The study underscores the potential potency of synergistic vaccination and quarantine interventions by minimising infection rates. Employing sophisticated numerical optimization techniques, the study tackles the equations' complexity. The findings underscore the substantive impact of coordinated vaccination and quarantine strategies in curtailing disease spread. These insights furnish policymakers and health authorities with empirically grounded methodologies to formulate robust responses to infections such as hand, foot, and mouth diseases. Ultimately, this research contributes to the armamentarium of tools that empower the formulation of effective strategies to safeguard public health.

Downloads

Download data is not yet available.

Author Biographies

Putsadee Pornphol, Department of Digital Technology, Faculty of Science and Technology, Phuket Rajabhat University, Phuket 83000, Thailand

Porpattama Hammachukiattikul, Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket 83000, Thailand

porpattama@pkru.ac.th

Emmanuel Sabastine, Department of Mathematical Sciences Federal University Lokoja, Kogi State Nigeria

sabastine.emmanuel@fulokoja.edu.ng

Rajarathinam Vadivel, Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket 83000, Thailand

vadivelsr@yahoo.com

Saratha Sathasivam, School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Pulau Pinang, Malaysia

saratha@usm.my

Published

2024-06-28

How to Cite

Putsadee Pornphol, Porpattama Hammachukiattikul, Emmanuel Sabastine, Rajarathinam Vadivel, & Saratha Sathasivam. (2024). Modelling the Study of Hand, Foot and Mouth Disease Using SVEIQAR Derived Model. Journal of Advanced Research in Applied Sciences and Engineering Technology, 47(2), 193–212. https://doi.org/10.37934/araset.47.2.193212

Issue

Section

Articles

Most read articles by the same author(s)