An Optimal Vaccination Scenario for COVID-19 Transmission Between Children and Adults

Avcı, Derya; Yurtoğlu, Mine

doi:10.1007/978-3-031-33183-1_6

Cited by 2 publications

(2 citation statements)

References 36 publications

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“…(2023); Shen et al (2021); Zaitri et al (2022). In particular, some works have combined optimal control with age-structured models to find the optimal vaccination allocation Avcı and Yurtoglu (2023); Chhetri et al (2022); Kumar et al (2021). Optimal control employed on infectious disease models represents a powerful tool to identify optimal vaccine allocation strategies.…”

Section: Related Studies That Employ Optimal Control Methodsmentioning

confidence: 99%

“…There exist numerous other works that use classical optimal control to identify optimal COVID-19 vaccination strategies, most of them minimizing an objective functional which accounts for infected cases, deaths or the number of vaccines Agossou et al (2021); Al-arydah (2023); Salcedo-Varela et al (2023); Shen et al (2021); Zaitri et al (2022). In particular, some works have combined optimal control with age-structured models to find the optimal vaccination allocation Avcı and Yurtŏglu (2023); Chhetri et al (2022); Kumar et al (2021). Optimal control employed on infectious disease models represents a powerful tool to identify optimal vaccine allocation strategies.…”

Section: Related Studies That Employ Optimal Control Methodsmentioning

confidence: 99%

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Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models

Gonzalez-Parra,

Mahmud,

Kadelka

2024

Preprint

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As the world becomes ever more connected, the chance of pandemics increases as well. The recent COVID-19 pandemic and the concurrent global mass vaccine roll-out provides an ideal setting to learn from and refine our understanding of infectious disease models for better future preparedness. In this review, we systematically analyze and categorize mathematical models that have been developed to design optimal vaccine prioritization strategies of an initially limited vaccine. As older individuals are disproportionately affected by COVID-19, the focus is on models that take age explicitly into account. The lower mobility and activity level of older individuals gives rise to non-trivial trade-offs. Secondary research questions concern the optimal time interval between vaccine doses and spatial vaccine distribution. This review showcases the effect of various modeling assumptions on model outcomes. A solid understanding of these relationships yields better infectious disease models and thus public health decisions during the next pandemic.

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