Should I include data from the covid era?

In a Deep Learning project (or any project, for the matter) involving historical data spanning several years of a company (let's assume 8 years in the past), if we want to build a predictive model, should we use the data from the COVID era even though it represents an anomaly that is unlikely to repeat?

I've considered incorporating this data but giving it less weight than the rest, although I'm not entirely satisfied with this approach.

What would you do …

anomaly covid data deep learning deeplearning historical data predictive project