Optimal Vaccination Policies for COVID-19 Considering Vaccine Doses Delays

Authors

DOI:

https://doi.org/10.5540/tcam.2022.024.01.00121

Keywords:

COVID-19, SEIR models, Age-structured systems, Optimal control

Abstract

This work introduces a methodology to determine an optimal vaccination strategy for the COVID-19 disease with limited vaccination capacity, considering the delays between vaccine doses in order to minimize the number of deaths. The evolution of the pandemic in the city of Tandil, province of Buenos Aires, Argentina, is studied through a compartmental model, where the parameters involved are calibrated according to official data. An auxiliary age-structured optimal control problem is introduced, where optimal policies are obtained taking into account the characteristics of the vaccine and the vaccination capacity. Through numerical simulations, the policy obtained is compared with other feasible strategies, considering or not strict isolation measures.

Downloads

Published

2023-03-14

How to Cite

Gianatti, J., Lotito, P. A., Neder, J. G., Núñez, P. M., & Parente, L. A. (2023). Optimal Vaccination Policies for COVID-19 Considering Vaccine Doses Delays. Trends in Computational and Applied Mathematics, 24(1), 121–139. https://doi.org/10.5540/tcam.2022.024.01.00121

Issue

Vol. 24 No. 1 (2023)

Section

Original Article

License

Authors who publish in this journal agree to the following terms: 

  1. Authors retain copyright and grant the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License that allows the sharing of the work with acknowledgment of authorship and initial publication in this journal.

  2. Authors are authorized to assume additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (eg, publish in an institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal.
     

  3. Authors are allowed and encouraged to publish and distribute their work online (eg, in institutional repositories or on their personal page) at any point before or during the editorial process, as this can generate productive changes as well as increase impact and the citation of the published work (See The effect of open access).

  4. This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the
    author. This is in accordance with the BOAI definition of open access

 

Intellectual Property

All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License under attribution BY.