I can see this being a really useful tool for predicting the 2019-nCoV infection & death rates from previous SAR & influenza pandemics prediction curve statistics where this is very, very difficult to work out until afterwards, due to it being an asymmetric statistics problem which is described well here:
https://towardsdatascience.com/why-everyone-knows-and-acts-like-the-2019-ncov-statistics-are-misleading-5919b3c33476
Being able to use past known predictive distribution curves & what is known so far with this current pandemic you could produce a posterior distribution curve using Bayesian statistics & then as this pandemic develops see how the real world results compare to the calculations for an unknown confidence value in how accurate the results are.
That would be a good question for you to ask your lad STEMO.
I don't think he'd want to hear it
