  The spread of diseases has been studied for many years, but it receives a
particular focus recently due to the outbreak and spread of COVID-19. Studies
show that the spread of COVID-19 can be characterized by the
Susceptible-Infectious-Recovered-Deceased (SIRD) model with containment
coefficients (due to quarantine and keeping social distance). This project aims
to apply the machine learning technique to predict the severity of COVID-19 and
the effect of quarantine, keeping social distance, working from home, and
wearing masks on the transmission of the disease. This work deepens our
understanding of disease transmission and reveals the importance of following
policies.
