The analysis of a novel COVID-19 model with the fractional-order incorporating the impact of the vaccination campaign in Nigeria via the Laplace-Adomian Decomposition Method

Akeem O. Yunus, M. Olayiwola
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Abstract

This study underscores the crucial role of COVID-19 vaccinations in managing the pandemic, with a specific focus on Nigeria. Employing a fractional-order mathematical modeling approach, the research assesses vaccination efficacy, minimum effectiveness, and duration. The model’s numerical solution is derived through the Laplace Adomian Decomposition Method (LADM), utilizing rapidly converging infinite series. Simulation results illustrate the impact of COVID-19 transmission and vaccination rates. The study concludes that implementing a vaccination strategy in an integer order proves to be the most effective approach to controlling the spread of COVID-19. These findings have significant implications for researchers, policymakers, and healthcare workers. They emphasize the central role of fractional calculus in facilitating vaccine implementation in the ongoing battle against COVID-19. The study calls for global efforts to maximize vaccination implementation for the overall benefit of public health.
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通过拉普拉斯-阿多米分解法分析包含尼日利亚疫苗接种活动影响的分数阶新型 COVID-19 模型
这项研究强调了 COVID-19 疫苗接种在管理大流行病方面的关键作用,并特别关注尼日利亚。研究采用分数阶数学建模方法,评估了疫苗接种效果、最低效果和持续时间。利用快速收敛的无穷级数,通过拉普拉斯-阿多米安分解法(LADM)得出了模型的数值解。模拟结果表明了 COVID-19 传播和疫苗接种率的影响。研究得出结论,按整数阶实施疫苗接种策略被证明是控制 COVID-19 传播的最有效方法。这些发现对研究人员、政策制定者和医疗工作者具有重要意义。它们强调了分数微积分在当前抗击 COVID-19 的战斗中促进疫苗实施的核心作用。这项研究呼吁全球努力最大限度地实施疫苗接种,以促进公共卫生的整体利益。
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