The Easter and Passover Blip in New York City

Maximilian Vierlboeck; Roshanak R Nilchiani; Christine M Edwards

As described in the previous section, the results obtained in this simulation possess a certain predictive power within their numbers as they show possible phenomena, such as increases infection rates and their implications, before they develop effects in reality. This is especially important when it comes to the hospitalization rates, as increases infection rates or even short phenomena such as the described Easter Blip can significantly impact the hospitals in reality. Thus, the results allow a predictions to an extent when a wave as a result of an increase in infection numbers might come. This can allow authorities to assign resources accordingly or at least prepare for possible impacts especially since data seen in reality already shows the trajectory of the evaluated scenarios [2, 3] .