I analyse an anonymised data dump of 1.9 million admissions records to the emergency departments of an undisclosed NHS Trust for the period June 2017 – September 2021
"We have a sudden rush of older folk rather than a steady build we’d expect from the gradual spread of a novel and deadly virus, which points the finger at policy."
No, I would expect that as all the active younger folk were not taking risks, crashing motorbikes, and chopping their feet with chainsaws etc - lockdown prevented them.
Thanks. Ratios aren't as interesting to me as the raw numbers. I do appreciate seeing ratios, but only "after" I've seen the more basic descriptive data.
"We have a sudden rush of older folk rather than a steady build we’d expect from the gradual spread of a novel and deadly virus, which points the finger at policy."
No, I would expect that as all the active younger folk were not taking risks, crashing motorbikes, and chopping their feet with chainsaws etc - lockdown prevented them.
How granular is the underlying data you have for arrival mode?
By the individual on a daily basis.
Thanks. It would be helpful to see January 2020 - May 2020 only, raw number (sum) by arrival mode.
I assume you have daily data?
I do indeed and the next few articles will be various time series of interest.
Thanks. Ratios aren't as interesting to me as the raw numbers. I do appreciate seeing ratios, but only "after" I've seen the more basic descriptive data.