Cost–benefit analysis of the COVID-19 vaccination model incorporating different infectivity reductions
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Date
2024-05
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Abstract
The spread and control of coronavirus disease 2019 (COVID-19) present a
worldwide economic and medical burden to public health. It is imperative to
probe the effect of vaccination and infectivity reductions in minimizing the
impact of COVID-19. Therefore, we analyze a mathematical model
incorporating different infectivity reductions. This work provides the most
economical and effective control methods for reducing the impact of COVID-19.
Using data fromGhana as a sample size, we study the sensitivity of the parameters
to estimate the contributions of the transmission routes to the effective
reproduction number Re. We also devise optimal interventions with
cost–benefit analysis that aim to maximize outcomes while minimizing COVID-19
incidences by deploying cost-effectiveness and optimization techniques. The
outcomes of this work contribute to a better understanding of COVID-19
epidemiology and provide insights into implementing interventions needed
to minimize the COVID-19 burden in similar settings worldwide.
Description
This article is published by Frontiers 2024 and is also available at 10.3389/fphy.2024.1383357
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Citation
Appiah RF, Jin Z, Yang J and Asamoah JKK (2024), Cost–benefit analysis of the COVID-19 vaccination model incorporating different infectivity reductions. Front. Phys. 12:1383357.