For the two of you who may care, my ongoing personal quest to understand the latest UK Covid figures and make predictions about the future continues. Things are naturally complicated by the fact that data are continually being updated even weeks after the fact.
My most recent focus was on understanding the figures in the NHS England updates on hospital deaths, as these are at least reliably fixed by actual date of death (see link below). Anyone who wants to analyse the data themselves can do so by using the free model-fitting software fityk, which I also only recently discovered.
Anyway, the latest fit I'm using seems to lead to just shy of 30,000 hospital deaths in England once the epidemic has ended (approximate range 28,000-31,000). Which, considering that the current equivalent total is 21,750, but that the UK-wide total is already in excess of 30,000, suggests that there's a long way to go yet. I've found it sad how consistent the model has been over the last week or so.
But for those who want to distract themselves from the rising death toll by focusing on the mathematical aspects, links below will help them get into it. I should add that my own modelling is based currently on a Split (pseudo-)Voigt distribution, and I haven't yet decided how to interpret this, ie is this merely a mathematical convenience or are there some meaningful conclusions to draw from the goodness of this particular fit as opposed to other models?
https://www.england.nhs.uk/statistics/statistical-work-areas/covid-19-daily-deaths/
https://fityk.nieto.pl/