Forecasting the Long-Term Trends of Coronavirus Disease 2019 (COVID-19) Epidemic Using the Susceptible-Infectious-Recovered (SIR) Model

• Autori principali: Agus Kartono (Autore), Savira Vita Karimah (Autore), Setyanto Tri Wahyudi (Autore), Ardian Arif Setiawan (Autore), Irmansyah Sofian (Autore)
• Natura: Libro
• Pubblicazione: MDPI AG, 2021-07-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

A simple model for predicting Coronavirus Disease 2019 (COVID-19) epidemic is presented in this study. The prediction model is presented based on the classic Susceptible-Infectious-Recovered (SIR) model, which has been widely used to describe the epidemic time evolution of infectious diseases. The o...