Before revision: In this paper, we propose two mathematical models for analyzing and predicting the number of confirmed cases of COVID-19 . Our first model is a time-dependent susceptible-infected-recovered (SIR ) model that tracks two time series, the transmission rate at time t, and the recovering rate at time t.
After revision: In this paper, we propose two mathematical models for analyzing and predicting the number of confirmed cases of COVID-19 . To predict the trend of COVID-19, we propose a time-dependent susceptible-infected-recovered (SIR ) model that tracks two time series, the transmission rate at time t, and the recovering rate at time t.