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Cont: 2019-nCoV / Corona virus Pt 3

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There is a study, not peer reviewed at this point, that suggests a relationship between blood type and likelihood/severity of Covid-19.

Would be interesting if it turns out to be factual.

https://www.medrxiv.org/content/10.1101/2020.03.11.20031096v1

CONCLUSION People with blood group A have a significantly higher risk for acquiring COVID-19 compared with non-A blood groups, whereas blood group O has a significantly lower risk for the infection compared with non-O blood groups.
 
Out of 60 people that attended a choir practice on March 10, 45 are now symptomatic and 27 have tested positive and one has died. They were aware of coronavirus and had practiced handwashing and some distancing.

It occurs that singing could produce a lot more airborne particulates than normal interactions.

https://www.nytimes.com/live/2020/c...0-people-show-up-for-practice-now-45-are-sick


This is also strong evidence against the half baked notion that "orders of magnitude" more people are infected than exhibit symptoms hence reducing the IFR well below .1"%


https://www.wsj.com/articles/is-the-coronavirus-as-deadly-as-they-say-11585088464
 
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Because we have yet to see the death toll for the spike happening in America.

This has been a repeated tactic now, pointing to other countries at a more advanced place in the event as an example of how we're doing better and that won't happen here.

While simultaneously downplaying that when we pass metrics of other countries it's because they are lying or have incomplete data.

Same kettle defense ********.

With millions of lives hanging in the balance


How does accurately accounting for deaths change the number of deaths, much less tip the balance in any way?
 
It's concerning to see that the UK has a very low recovery rate on https://www.worldometers.info/coronavirus/country/uk/

Is that a reflection of the poor health of society or the NHS or the stage of the epidemic?

How is the recovery rate even calculated? People with mild symptoms are generally told to self-quarantine for 2 weeks. Then what? Are they re-tested after 2 weeks? I'm guessing in many countries they are not. And if they aren't re-tested, are they added to the official recovered count?
 
How does accurately accounting for deaths change the number of deaths, much less tip the balance in any way?

This question doesn't seem to make any sense in the context of the post it's quoting. You should explain yourself better.
 
From the BBC news live thing: "The head of the NHS in England, Simon Stevens, tells the briefing there are currently 6,200 patients with coronavirus in hospital."

So certainly the real number of cases in the UK is much higher than the confirmed number.

For tracking whether social distancing is working, hospital admissions data should be useful: like deaths, it's more reliable (less dependent on who happens to get tested etc). But it has a shorter lag time than deaths.
 
So don't request; enforce.

I can think of plenty of jurisdictions who need to hear that message. I just saw a video of British bobbies begging park goers to "go home". You don't beg people to obey the law. You crack some skulls and haul them off to jail. The others quickly get the message.
 
Number of deaths in USA continues to accelerate. It is so terrifying that the USA administration appears committed to loosen restrictions under these circumstances and even before we will be anywhere close to having enough masks and testing kits. Many European countries still increasing but not accelerating. Still looks as if Italy may have finally begun to get some level of control:
https://www.nytimes.com/interactive...ion=click&module=Most Popular&pgtype=Homepage

China still stands out as to a successful response after initial failures. Ironically Iran looks like they are starting to be successful, but I have no reason to trust those numbers.

Also in China, scientists who caught the virus and recovered have come up positive AGAIN. It's mutated.
 
Over a period of ~6 months, say, how could “deaths per million” do anything but increase*?

*quibbly trivial fluctuations aside

You would think so but total deaths in Greece went down according to my records. Its a miracle.
 
Number of cases in every list I've seen is those confirmed as positive by testing.

That would imply that the CFR and IFR would be the same if everyone was tested.

It can be worked out over any time period, because you're comparing known number of deaths from Covid-19 to the known historical number of deaths, but you'd usually use a full year to ensure a fair picture.

Meaning that a person who died on January 1 rather than December 31 of the same year would NOT count towards "excess mortality" even though they lost nearly a year of their life?
 
The post I quoted said " millions of lives hang in the balance " .

Maybe you can tell me, how accurately reporting deaths changes that ?
Is this supposed to be a serious question? Data effects decisions and decisions effect outcomes. Isn't that self-evident?

Also, worth noting is that the post you were responding to wasn't question data on deaths it questioned the data on death rates.
 
I can think of plenty of jurisdictions who need to hear that message. I just saw a video of British bobbies begging park goers to "go home". You don't beg people to obey the law. You crack some skulls and haul them off to jail. The others quickly get the message.

"Won't you please go home?...Sir, I must warn you, if I have to ask again I will NOT say please."
 
Cases per million is useful in determining how far through the entire event a country is.

To my mind, the distressing metrics are active cases and rate of growth.

Agree! But location is important too. I have been watching for hospitalizations and deaths more than cases here (OC, Calif.) for over two months now.

Why? Because the virus has been around and in multiple adjoining counties since mid-January with many many travelers from China coming through. Testing has been so little that was is basically a statistical Zero just until this past week.

The hospitalizations and deaths have not increased like other areas. Not even close.

Orange County, land of 3+ million and home of super-packed tourist Disneyland and all the nearby resorts has so far reported one death (and it isnt known if that was a traveler).

So it is important to me to pay attention to "why is that?". All things being equal, some places are having less severe cases.

I think it is clear that areas with higher UV exposure hours get milder cases because this degrades the viral load. So we very likely have many thousands infected here but because people are, on average, catching less load of the virus, their bodies have more time to make the antibodies and symptoms are milder- maybe none at all.

Places where the virus can live longer and stronger will have infections with a higher viral load, less time for the body to fight replication, and more deaths. ie. Underground metros and subways operating in cool cloudy climates are very risky environments, as are ski resorts.

To track it, you need to look at the environmental conditions in a place at the time of infection, not when it is tested, reported, or when they needed the hospital, or died.

If the antibody test becomes widely available, the difference in location will be clearer.

era: This is all IMO and I reserve the right to alter it when more data becomes available. :)
 
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