hi boys - just got to this
er was reading - no really - aeschylus - Persians - eye witness account of the battle of salamis 478 BC
good idea - getting the death ratio or case ration and then projecting backwards
I thought just do it with a fraction - and was pretty impressed by his analysis of getting a normal distribution for each daily result
wow !
I can think of it but cant do it
BUT
Jim - if you are gonna do this - please please watch Zhukovs viddie ( he lectures to the NHS providers) and or the Oxford viddies - Both on You tube
Cary Huang above doesnt mention the SIR model and then I thought - that is because he is not aware of it .....
and his model would be BETTER if he took into account what has gone before.
that is there is a certain amount of Cary H rediscovering the wheel
so he jumps from 1 + 1/7 to 1.14 to Ro of 1,14 - which I think is terribly low - and altho he generates valid constants for his own model, they dont correspond to the constants in the other models - - - which makes comparison difficult
and he reconstructs data given in the New England Journal paper which he just could have used ( 5 d incubation with SD of 1) - so he spends around 5 m estimating data measured in the journals
and
// as I'm not sure why the green lines were falling towards 1 even before lockdown,//
yes I noticed that as well - and I thought it might be an effect of the SIR model - you run out of people to infect,
and not an effect of lock down
Cary H didnt mention it and that was why I thought he wasnt conversant with the SIR model
( because even if he thought it wasnt, he should explain why he thought it wasnt. but then he says - oh but he is just a numba cruncher...)
but blimey
very well done
I cant do anything like this....
yeah you see the difficulty about having a decreasing rate before lockdown is ....... if the rate isnt tweaked by lockdown ( angle hump or corner ) - then you can say that lock down hasnt had an effect cant you?
oo-er Mrs ! lucky this is locked away in Science
and no one understands what and why I say
so it was a bit like the Chartists view of the Stock Exchange variations ( you dont look at any of the company data - you just look at the way the numbers(prices) vary - no really they do this - chartists I mean. - shoulders and dead cat bounces and so on)
anyway well done Cary and well done Jim