Well I hope so. It's anyway the case that there are now fewer covid cases in hospital, both in non-intensive and intensive care. Yay, the recovery rate is currently faster than the infection rate was one incubation time period ago. Boo, the death rate isn't much less than the recovery rate. But yay, it frees up beds. Hmmm.Woodchopper wrote: Mon Apr 06, 2020 12:39 pmIt looks like mortality is declining now in Italy, Spain, Belgium, Austria. So it looks like the lockdown measures implemented there about 3-4 weeks ago are having an effect. So either the lockdowns have got R to below 1 on average at a national level, or at least the lockdowns have protected the most vulnerable members of society.shpalman wrote: Mon Apr 06, 2020 11:12 am This morning I tried setting up a SEIQR model in a spreadsheet. (Susceptible - Exposed - Infectious - Quarantined - Recovered, in which I'm assuming a certain probability of an infection getting detected and quarantined, alternatively it could recover without being detected).
I've realized a thing: if the number of new infections per day is going down, it does not mean that the reproduction number has dropped below 1 and that the infections are tending to zero. It just means you reduced the contagion parameter β. If the number of infectious people (I) is climbing anyway, then once the product βI reaches the value it had before, you'll get the same infection rate you had before. This seems to have happened a few times in Italy already: "yay it's going down no wait it's gone up again".
This will carry on until a substantial fraction of the susceptible population has been infected. Or you really do manage to get the reproduction number to below 1. But if it's not below 1 now in Italy I struggle to think of what more can be done.
(Recovery tends to take longer than death, this is why the figures for survival of ICU admissions look so bad now but will improve over the next few weeks.)