The COVID-19 Pandemic represented a unique period in our recent history, where many stages of a pandemic occurred with various dynamics, control measures, and forms of data collection. In a retrospective,  various models for the COVID-19 pandemic and the associated conclusions will be discussed. The lessons learned in modeling and epidemiology from the COVID-19 pandemic can be extended to other outbreaks, in terms of model dynamics, management strategies, and numerical analyses.