Author: Lin, Bo-Cyuan; Chen, Yen-Jia; Hung, Yi-Cheng; Chen, Chun-sheng; Wang, Han-Chun; Chern, Jann-Long
Title: The Data Forecast in COVID-19 Model with Applications to US, South Korea, Brazil, India, Russia and Italy Cord-id: k170fwoh Document date: 2020_11_5
ID: k170fwoh
Snippet: In this paper, we firstly propose SQIARD and SIARD models to investigate the transmission of COVID-19 with quarantine, infected and asymptomatic infected, and discuss the relation between the respective basic reproduction number $R_0, R_Q$ and the stability of the equilibrium points of model. Secondly, after training the related data parameters, in our numerical simulations, we respectively conduct the forecast of the data of US, South Korea, Brazil, India, Russia and Italy, and the effect of pr
Document: In this paper, we firstly propose SQIARD and SIARD models to investigate the transmission of COVID-19 with quarantine, infected and asymptomatic infected, and discuss the relation between the respective basic reproduction number $R_0, R_Q$ and the stability of the equilibrium points of model. Secondly, after training the related data parameters, in our numerical simulations, we respectively conduct the forecast of the data of US, South Korea, Brazil, India, Russia and Italy, and the effect of prediction of the epidemic situation in each country. Furthermore, we apply US data to compare SQIARD with SIARD, and display the effects of predictions.
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