Optimal age-specific vaccination control for COVID-19: an Irish case study
Eleni Zavrakli, Andrew Parnell, David Malone, Ken Duffy, Subhrakanti, Dey

TL;DR
This paper develops an optimal age-specific COVID-19 vaccination strategy using a compartmental model tailored to Ireland, demonstrating potential improvements over actual policies by prioritizing older populations and reducing overall cases.
Contribution
It introduces a novel compartmental model for optimizing age-specific vaccination strategies and applies it to Irish COVID-19 data, highlighting potential policy improvements.
Findings
Prioritizing older populations early reduces infections.
Simultaneous vaccination of younger groups lowers transmission.
Optimized policies could outperform actual government strategies.
Abstract
The outbreak of a novel coronavirus causing severe acute respiratory syndrome in December 2019 has escalated into a worldwide pandemic. In this work, we propose a compartmental model to describe the dynamics of transmission of infection and use it to obtain the optimal vaccination control. The model accounts for the various stages of the vaccination and the optimisation is focused on minimising the infections to protect the population and relieve the healthcare system. As a case study we selected the Republic of Ireland. We use data provided by Ireland's COVID-19 Data-Hub and simulate the evolution of the pandemic with and without the vaccination in place for two different scenarios, one representative of a national lockdown situation and the other indicating looser restrictions in place. One of the main findings of our work is that the optimal approach would involve a vaccination…
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Taxonomy
TopicsCOVID-19 epidemiological studies
