bidde wrote:HotRocks34 wrote:Just a brief wrap-up on something touched upon a few pages ago in this thread. I'm putting this here to shoot down the more radical interpretation of events that was being considered. This is a new report on the investigation of the origins of the virus.
https://www.foxnews.com/politics/us-officials-investigation-coronavirus-wuhan-labU.S. officials and the intelligence community have confirmed to Fox News that they have taken the possibility of the coronavirus being man-made or engineered inside China as some sort of bioweapon off the table and have ruled it out at this point.
Sources point to the structure of the virus, in saying the genome mapping specifically shows it was not genetically altered. The sources believe the initial transmission of the virus was a naturally occurring strain that was being studied there -- and then went into the population in Wuhan.
So, the bioweapon hypothesis (and, apparently, the "altered virus structure" hypothesis) is now firmly returned to the conspiracy theory corner. It's official.
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Interesting study out of Stanford (Covid antibody testing in California):
https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v1.full.pdf
Summary:
- Number of actual infected persons may be 50-85 times higher than known
- CFR (mortality rate) of Covid (at least in California) may be around .12% to .20%
This data is similar to what a German study found (0.37% CFR):
https://reason.com/2020/04/09/preliminary-german-study-shows-a-covid-19-infection-fatality-rate-of-about-0-4-percent/
It's also not so far off of the current figures in Iceland. Iceland is the most tested nation per capita in the world on the virus. That makes them possibly the best "not antibody researched" study of what the Covid CFR may be.
Iceland ----------> 9 deaths/1754 cases = 0.51% CFR
A virus with a .1% CFR will kill 1 in 1000 people who catch it. A virus with a .5% CFR will kill 5 in 1000 (1 in 200) people who catch it.
As many have suspected, there are likely a lot more people who have, or have had, the virus in the USA than we know about. The current "known" CFR of the virus in the USA is around 4.6% (30,449 deaths from 666,573 cases). Data from here:
https://covidtracking.com/data
Picking a number between 0.1% and 0.5%, let's just say that the virus CFR is 0.3%. That would make the virus about 15 times less deadly than it currently appears to be based on the known numbers. That's a welcome thought.
Of course, the CFR for the virus is a lot higher for certain populations (elderly, those with per-existing conditions).
Comparisons:
https://en.wikipedia.org/wiki/Pandemic_severity_index#Guidelines
https://en.wikipedia.org/wiki/1957%E2%80%9358_influenza_pandemic
https://www.medicinenet.com/script/main/art.asp?articlekey=208914
Average flu ----------> 0.1% CFR (or less; kills roughly 291,000 to 646,000 globally per year)
1957 flu --------------> 0.3% CFR (in the UK; killed 1-2 million people globally)
Spanish flu ----------> 2.0%+ CFR or higher (killed 17-100 million globally)
People usually differentiate between CFR (case fatality rate) and IFR (infection fatality rate). CFR uses confirmed cases as the denominator, while IFR uses all infected. So you can't really be wrong about the CFR. IFR is the more interesting and difficult question, but scientists believed it to be a lot lower than some of those CFRs for a while. For example the Imperial College Study (the one that predicted 2.2 million deaths in the US without intervention) was published a month ago and assumed an IFR of 0.9% and a study focused on estimating IFR published in late March found a 0.4 %- 1.3% confidence interval for IFR.
As far as the Stanford Study goes, ideally you would want a random sample of a population. But this is how they found their participants:We recruited participants by placing targeted advertisements on Facebook aimed at residents of Santa Clara County.
The problem with an approach like this is that you might introduce a bias, for example you end up getting more people that are worried about having covid, because they had symptoms. That could lead to the prevalence being overestimated and the IFR being underestimated.
Also, I was kind of shocked to see those CIs on the sensitivity of the used test:Our estimates of sensitivity based on the manufacturer’s and locally tested data were 91.8% (using the lower estimate based on IgM, 95 CI 83.8-96.6%) and 67.6% (95 CI 50.2-82.0%), respectively. Similarly, our estimates of specificity are 99.5% (95
CI 98.1-99.9%) and 100% (95 CI 90.5-100%).
At this point we can be pretty certain that the IFR is above 0.2% just by looking at the fatalities in NYC and some of the hard hit regions in Italy.
Imperial College Study:https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf
Estimates of the severity of coronavirus disease 2019: a model-based analysis Ji in: https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30243-7/fulltext
Reassuring in general and seems quite reasonable/plausible. It doesn’t really explain (imo only) NYC and the places in Europe where the disease became widespread, in these places the disease looks to be significantly more lethal. It doesn’t appear on the basis of what I have read to be due to the virus mutating,with the various described strains of the virus apparently not being significantly different, and to me anyway is not completely explained by the capacity of the medical systems in these places being overwhelmed. I am attempting not to speculate overly but clusters and super spreaders do seem to be important in the disease in general and and I wonder whether this applies to outcomes as well as contracting the disease.