Even if the data was misreported, which is a possibility, censoring or deleting it in some way is the worst option. Lets say Florid's growth for that month was 30%. But because of bad reporting it thought it had a growth rate of 15%, until the end of the month when all of the missed cases were reported. That spike will not be accurate, but just deleting it would make it look like Florida still had a 15% growth rate. Reviewing the full months data to correct those issues would give the clearest report, but reporting the raw data is more honest than just deleting the anomaly.