Z. Liu, M. Omayrat, and O. Stursberg, “A Study on Model-based Optimization of Vaccination Strategies Against Epidemic Virus Spread,” Proc. of the 18th Int. Conf. on Informatics in Control, Automation and Robotics, pp. 630-637, 2021.

Abstract

This paper aims at applying optimal control to investigate different vaccination strategies against the epidemic spread of viral diseases. Background of the study is the situation in the first half of 2021, when many countries started their vaccination procedures against the COVID-19 disease, but suffered from shortages of vaccines, such that the efficient distribution of the available amount of vaccine turned out to be crucial to mitigate the pandemic. The paper first suggests an extended version of a known model of virus spread in order include the vaccination process. Based on this model, the formulation and solution of optimization problems is used to determine how available vaccine should be distributed over different age-groups of the population to minimize virus spread. Effectiveness of the obtained strategies compared to standard ones is demonstrated in simulations.

BibTex

@ARTICLE{LO21,
 AUTHOR={Z. Liu, M. Omayrat and O. Stursberg},
 TITLE={{A Study on Model-based Optimization of Vaccination Strategies Against Epidemic Virus Spread}},
 JOURNAL={Proc. of the 18th Int. Conf. on Informatics in Control, Automation and Robotics},
 YEAR={2021},
 PAGES={630-637}}