In December 2019, COVID-19, a novel coronavirus disease, started in China and spread worldwide. The development of COVID-19 vaccines helped many countries in this world to diminish the disturbance caused by COVID-19. In order to explore the economic influence of COVID-19 with vaccination, this paper sets up 12 different scenarios with various daily vaccination rates and vaccination efficiencies to predict the cumulative fraction of the infective population based on a modified version of the SEVIR model, which is a basic quantitative model of infectious diseases. Inspired by previous research, we utilized the G-cube (G20) Model from the Computable General Equilibrium (CGE) model to estimate the GDP growth rate in the field of microeconomics based on prediction from previous data results of the SEVIR model. According to the results from this paper, we conclude that as the increase of daily vaccination rates and vaccine efficacy, the infection growth rate will decrease inversely.
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