I think what you're saying is that you want to run the model on inputs from, say, February and see if it produces results that are similar to today's caseload.*

I think what you're saying is that you want to run the model on inputs from, say, February and see if it produces results that are similar to today's caseload.* So why don't you go do that? That isn't in any way a software engineering problem, it's a fundamentally difficult scientific one. * You'll obviously run into the "testing on your training data" problem, but again this isn't much of a criticism. We're in the midst of an epidemic and scientists are rapidly adjusting a model to reflect developing knowledge. The alternative is to have no models.