Z. Liu, M. Omayrat and O. Stursberg: "Model-Based Optimization of Vaccination Strategies in Different Phases of Pandemic Virus Spread". In: ICINCO 2021: Informatics in Control, Automation and Robotics, vol. 1006, pp. 185–208, 2023
Abstract
This paper aims at applying optimal control principles to investigate optimal vaccination strategies in different phases of a pandemic. Background of the study is that many countries have started their vaccination procedures against the COVID-19 disease in the beginning of 2021, but supply shortages for the vaccines prevented that everyone could be vaccinated immediately. At the beginning of 2022, in contrast, the vaccine supply was ample, but the effectiveness of different existing vaccines to avoid infection by new virus variants was in doubt, as well as the acceptance of booster doses decreased over time. To account for these effects, two formulations of optimization tasks based on different epidemic models are proposed in this paper. The solution of these tasks determines optimal distribution strategies for available vaccines, and optimized vaccination schemes to reduce the need of booster doses for later phase. Effectiveness of these strategies compared with other popular strategies (as applied in practice) is demonstrated through a series of simulations.
BibTex
@article{LIU202362,
title = {Model-Based Optimization of Vaccination Strategies in Different Phases of Pandemic Virus Spread},
journal = {Informatics in Control, Automation and Robotics},
year = {2023},
note = {18th International Conference ICINCO 2021},
isbn = {978-3-031-26473-3},
doi = {https://doi.org/10.1007/978-3-031-26474-0_10},
url = {https://link.springer.com/chapter/10.1007/978-3-031-26474-0_10},
author = {Zonglin Liu, Muhammed Omayrat and O. Stursberg},
abstract = {This paper aims at applying optimal control principles to investigate optimal vaccination strategies in different phases of a pandemic. Background of the study is that many countries have started their vaccination procedures against the COVID-19 disease in the beginning of 2021, but supply shortages for the vaccines prevented that everyone could be vaccinated immediately. At the beginning of 2022, in contrast, the vaccine supply was ample, but the effectiveness of different existing vaccines to avoid infection by new virus variants was in doubt, as well as the acceptance of booster doses decreased over time. To account for these effects, two formulations of optimization tasks based on different epidemic models are proposed in this paper. The solution of these tasks determines optimal distribution strategies for available vaccines, and optimized vaccination schemes to reduce the need of booster doses for later phase. Effectiveness of these strategies compared with other popular strategies (as applied in practice) is demonstrated through a series of simulations.}
}
DOI
https://doi.org/10.1007/978-3-031-26474-0_10
URL
https://link.springer.com/chapter/10.1007/978-3-031-26474-0_10