The Impact of Booster Vaccine on the Spread Of COVID-19 Using an Extended SEIR Model

Authors

  • Sadia Tasnim Sristy Universiti Malaya, Malaysia
  • Nor Aishah Hamzah Universiti Malaya, Malaysia
  • Muhamad Hifzhudin Noor Aziz Universiti Malaya, Malaysia

DOI:

https://doi.org/10.7546/CRABS.2024.11.02

Keywords:

booster vaccine, mathematical model, reproduction number, optimization, sensitivity analysis

Abstract

This study used a non-linear SEIR model to analyze the spread of COVID-19 in Malaysia. The model considered vaccines, booster doses, hospitalized cases, and various infectious cases. The model was fitted to real data using MATLAB's ode solver and the particle swarm optimization method. The results revealed that booster vaccines significantly reduced the total number of infected cases by 62% when 70% of the population received them. This model can help policymakers to make crucial decisions to prevent future outbreaks.

Author Biographies

Sadia Tasnim Sristy, Universiti Malaya, Malaysia

Mailing Address:
Institute of Mathematical Sciences,
Faculty of Science,
Universiti Malaya,
50603 Kuala Lumpur, Malaysia

E-mail: s2118755@siswa.um.edu.my

Nor Aishah Hamzah, Universiti Malaya, Malaysia

Mailing Address:
Institute of Mathematical Sciences,
Faculty of Science,
Universiti Malaya,
50603 Kuala Lumpur, Malaysia

E-mail: aishah_hamzah@um.edu.my

Muhamad Hifzhudin Noor Aziz, Universiti Malaya, Malaysia

Mailing Address:
Institute of Mathematical Sciences,
Faculty of Science,
Universiti Malaya,
50603 Kuala Lumpur, Malaysia

E-mail: hifz_din@um.edu.my

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Published

30-11-2024

How to Cite

[1]
S. Sristy, N. Hamzah, and M. Aziz, “The Impact of Booster Vaccine on the Spread Of COVID-19 Using an Extended SEIR Model”, C. R. Acad. Bulg. Sci., vol. 77, no. 11, pp. 1589–1598, Nov. 2024.

Issue

Section

Mathematics