In which jon-nyc stakes out an unconventional opinion on the Covid-19 outbreak
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A recent Imperial College work estimating the effective R value in European countries. In all countries except Norway, they estimate the value to be more likely above 1 than below. Though the 50% confidence interval contains 1 for all countries except Sweden.
Peruse the graphs on pp 7+
Also some scary estimates on actual infection rates on p 6, which are more than a week old!
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Jon you make a good argument. I wouldn’t bet against your position.
For the dumb people in the room (me) who aren’t following the lexicon perfectly, is “peak” defined as total active cases or when growth factor (cases today / cases yesterday) is consistently <1.0?
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Look at my third sentence!
What I'm talking about peaking is active cases. So the number of people who have the disease at a particular time.
Something I didn't mention, though I've stated in another thread, is that the peak active cases occurs after the peak in new cases, since cases last a couple of weeks. If that's not intuitive to someone I'm happy to graph it out.
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I will only say that the IMHE model stays very consistent and in fact overall US death projections are down again this morning.
Vents in NY are of course projected to be 20% of Coumo’s main pitch lat week.
Hospital resources across the country, which are generally their visits, hospitalizations and revenues are down over 60%. It’s a bloodbath.
I think there is a big lag in test data which you are not seeing.
For IHME to forecast peaks this week in deaths and hospital resource this week and you to say more than two weeks from now, that is a huge spread.
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Davis - Like I said, I’m hopefully wrong.
I’m violating one of my own rules rules here. Experts in a topic may well be wrong, but usually not in a way that is obvious to the layman.
But for now I will stand by this.
Only non-witches get due process.
- Cotton Mather, Salem Massachusetts, 1692
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Davis - Like I said, I’m hopefully wrong.
I’m violating one of my own rules rules here. Experts in a topic may well be wrong, but usually not in a way that is obvious to the layman.
But for now I will stand by this.
If IMHE model doesn’t stand up to the next two or three days you won’t have to look at any more and all those people will be a distant memory. You are basically calling them soon to be irrelevant. It’s too close for the event itself for them to recover. I’ve seen lots of hubris in my life, I’m not betting in these personalities being so blind to the data. All models are wrong, only data speaks, here the data should be screaming at them.
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No, if the models don’t hold up they’ll learn from that and adjust them. Try looking at this through a lens of science instead of politics. Turn the TV off if necessary.
@jon-nyc said in In which jon-nyc stakes out an unconventional opinion on the Covid-19 outbreak:
No, if the models don’t hold up they’ll learn from that and adjust them. Try looking at this through a lens of science instead of politics. Turn the TV off if necessary.
Jon, try considering this. IMHE uses actual deaths as the basis of the model and not cases which are way underreported.
But this is your thread and you have set the goal posts and are apparently calling the shots at the skeptics. Should be fun.
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I’m not ‘calling the shots’ I’m thinking out loud.
Why is all of this a ‘who’s up, who's down’ question for you? Don’t you have any native curiosity in the underlying topic?
@jon-nyc said in In which jon-nyc stakes out an unconventional opinion on the Covid-19 outbreak:
I’m not ‘calling the shots’ I’m thinking out loud.
Why is all of this a ‘who’s up, who's down’ question for you? Don’t you have any native curiosity in the underlying topic?
Ok
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The testing lag is a good point.
But other countries‘ data should also lag, no?
Taiwan and SK had about a 10-14 day gap from peak new cases to peak active cases, testing lags and all. Why wouldn’t we see that in our data?
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@jon-nyc said in In which jon-nyc stakes out an unconventional opinion on the Covid-19 outbreak:
Please do!
https://91-divoc.com/pages/covid-visualization/
The second chart.
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@jon-nyc said in In which jon-nyc stakes out an unconventional opinion on the Covid-19 outbreak:
No R0 estimates there.
Sorry, I thought you were looking for cases by state, not R0.
@George-K said in In which jon-nyc stakes out an unconventional opinion on the Covid-19 outbreak:
@jon-nyc said in In which jon-nyc stakes out an unconventional opinion on the Covid-19 outbreak:
No R0 estimates there.
Sorry, I thought you were looking for cases by state, not R0.
I continue to look for the native source for R(0) estimates and can’t find but they are out there by country and state and being used in many models. Check out Quartz I think their recent article might get you there.
