Cost-benefit analysis of COVID-19 vaccination model incorporating different infectivity reductions Provisionally Accepted

Appiah Raymond Fosu^1* Zhen Jin¹ Junyuan Yang¹ Joshuah Kiddy. K. Asamoah^{2, 3}

• ¹Shanxi University, Complex Systems Research Center, China
• ²Department of Mathematics, Saveetha School of Engineering SIMATS, Chennai, India, India
• ³Kwame Nkrumah University of Science and Technology, Ghana

The spread and control of COVID-19 is a worldwide economical 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 in reducing the impact of COVID-19. Using data from Ghana as a sample size, we study the sensitivity of the parameters to estimate contributions of the transmission routes to the effective reproduction number 𝑅 𝑒 . 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 COVID-19 epidemiology and provide insights into implementing interventions needed to minimize COVID-19 burden in similar settings worldwide.