THE IMPACT OF BOOSTER VACCINE ON THE SPREAD OF COVID-19 USING AN EXTENDED SEIR MODEL
Document Type
Article
Publication Date
1-1-2024
Abstract
This study used a non-linear SEIR model to analyze the spread of COVID19 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.
Keywords
booster vaccine, mathematical model, reproduction number, optimization, sensitivity analysis
Divisions
MathematicalSciences
Funders
Universiti Malaya (ST053-2023)
Publication Title
Comptes Rendus de L'Academie Bulgare des Sciences
Volume
77
Issue
11
Publisher
Publishing House Bulgarian Academy of Sciences
Publisher Location
ACADEMICIAN G BONCEV ST, 1113 SOFIA, BULGARIA