Here we go again, the state is suddenly 'on fire' with COVID. Counties, institutions and businesses are suddenly reissuing mask mandates/advisories and panic is already ensuing.
Why?
Because this week's CDC Map of Fear update was a doozy, with most of the state now being at yellow (medium) and orange (high) alert levels (see below).
But yet again, let us put what is happening in perspective. The CDC's Map is based only on 3 things, the number of 'cases' per 100K over 7 days, the number of new hospital admissions 'for' COVID-19 over 7 days & the % of staffed inpatient beds with a 'COVID' patient. That's it.
And the two hospital metrics have the power to trigger a county to 'high' level all on their own. This system allows for the absurd situation that there could be zero new cases, and still be at a 'high' level. It's that bad.
We all know 'cases' could be just about anything. Anyone with a positive test, without or without a symptom can be a 'case', or anyone with normal cold and flu symptoms can be a 'case', no test needed.
And the hospital metrics are even worse, particularly the new admissions metric. Right now, in fact, it is the new admissions metric that has almost fully fueled this new 'wave' of alarm across the state.
Outside of the green counties, only 10 of the 76 yellow and orange counties have not triggered the new admissions metric, while 3 counties in orange have ONLY triggered the admissions metric (Mahoning, Trumbull and Washington).
But let's put this hospital flood in perspective, shall we? In the following image, I have plotted days from 'onset' to hospital admission date for all of the new hospital admissions that have occurred in the 7 days that the CDC is using.
To be clear about definitions, 'onset' is either the date when symptoms started, or, if asymptomatic, the date of the positive test.
In the state of Ohio, a state of ~11.7 million residents, over 7 days, there were a total of 521 new hospital admissions designated as COVID. That's less than 75 COVID admission per day for an entire state. For a bit more perspective, Ohio has ~24,000 total inpatient beds.
But wait, there's more.
Of those hospitalizations, 292 (56%) had onset on date of admission. You don't go to the hospital & get admitted the day you start feeling respiratory symptoms. These people weren't being admitted for C19, but incidentally testing positive upon admission for another condition.
We also have the even more absurd COVID hospitalizations where a person has onset AFTER admission to the hospital. These individuals, again, could not have been admitted FOR COVID.
Together, just these two 'impossible' categories comprise 63% of all supposed COVID hospital admissions in the state over those 7 days. That doesn't even take into account the 30 individuals who, somehow, have an 'unknown' date of hospital admission.
Nor does it include two individuals who had 'onset' more than a month before their supposed admission for COVID-19.
Again, the vast majority of the state has triggered to medium or high alert levels based on this one metric. Places of employment have already reinstituted mask mandates, county Health Departments are issuing advisories and the panic is starting to rise again.
Based on numbers that are vanishingly small, and clearly do not represent disease.
There is no new ‘wave’ of disease. There is no crisis.
Let's talk about yesterday's VRBPAC meeting where they recommended authorizing M0dern@ for children from 6-17 years old.
The data supporting such an authorization is scant, to say the least, and yet they still did it by playing as many games as they could.
We already know that many of those same games will be played later today when they authorize both Pf* and M0dern@ for children between 6 months and 4 years.
Along with yesterday's admission that cases were declining, Dr. Vanderhoff also announce a new adjustment to how we will count 'cases' going forward.
First of all, Ohio has one of the most expansive 'case' definitions (if not THE most expansive) of any state. We count all PCR positives, regardless of symptoms or contact like other states. But we also count 'probables' as full 'cases'.
Most other states separate these 'probables' from the confirmed by PCR cases. Not Ohio. They are full and equal 'cases' with symptomatic, low cycle threshold PCR positives.
🧵Well, yesterday, Dr. Vanderhoff in his press conference finally got with the program and said "We are seeing early indicators that cases appear to be peaking and beginning to point toward a decline."
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I'm so glad he's so timely with that information. Although to anyone who actually looks at the data itself, it's been pretty clear for weeks now that we are declining.
Not 'starting', not 'early indicators' not 'appears' - it's right there, glaringly obvious, nothing but their own data, attached to this post and a hundred others just like it for all to follow along.
So here's a thought experiment as we watch the v-starts continue to fall with no sign of any increased interest from those who have yet to take it.
It has been put out there in the new models that having 68% of people injected is a 'low' coverage number for their calculations, while 83% (for the moment) is their goal.
But what does that mean in terms of how long it will take at our current rate of V-uptake?
I've made comments previously about how 'respectful' this virus is of our holidays both before the weekend and now after -
- for those of you who haven't been following me for the long term, I think I should re-clarify what I mean by its 'respect' & why it is so important in understanding the actual danger of this virus in terms of true illness and not just people testing positive with no ill effect.
Obviously, the virus isn't actually 'respectful' - it's a virus. Holidays and weekends are meaningless when it comes to illness. You get sick when you get sick whether it's a holiday or not.
It's a bit of a short bit of (mis)information today since cases aren't reported on holidays, but V information never takes a break! So here you go, today's V data, telling us the same story of those who want it, have taken it, and those that don't are not convinced.
I have also added a bonus graph today - one showing v-starts by reported date (blue line) and v-starts by assigned date (orange line). I haven't taken the time to actually analyze the area under the curve, but -
- just from eyeballing it, particularly in the last month, there have been significantly more reported v-starts than those assigned.