DATA AVILABILITY : Data will be made available on request.Vaccine boosters have been recommended to mitigate the spread of the coronavirus disease 2019 (COVID-19)
pandemic. A mathematical model with three vaccine doses and susceptibility is formulated. The model is
calibrated using the cumulative number of hospitalized cases from Alberta, Canada. Estimated values from
the fitting are used to explore the potential impact of the booster doses to mitigate the spread of COVID-19.
Sensitivity analysis on initial disease transmission shows that the most sensitive parameters are the contact rate,
the vaccine efficacy, the proportion of exposed individuals moving into the symptomatic and asymptomatic
classes, and the recovery rate from asymptomatic infection. Simulation results support the positive populationlevel
impact of the second and third COVID-19 vaccine boosters to reduce the number of infections and
hospitalizations. Public health policy and decision-makers should continue advocating and encouraging people
to get booster doses. As the end of the pandemic is in sight, there should be no complacency before it resolves.The DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria.https://www.elsevier.com/locate/dajouram2024Mathematics and Applied MathematicsSDG-03:Good heatlh and well-bein
