  This paper shows that the generalized logistic distribution model is derived
from the well-known compartment model, consisting of susceptible, infected and
recovered compartments, abbreviated as the SIR model, under certain conditions.
In the SIR model, there are uncertainties in predicting the final values for
the number of infected population and the infectious parameter. However, by
utilizing the information obtained from the generalized logistic distribution
model, we can perform the SIR numerical computation more stably and more
accurately. Applications to severe acute respiratory syndrome (SARS) and
Coronavirus disease 2019 (COVID-19) using this combined method are also
introduced.
