If this study is accurate, then 1.8 million NYC resident are infected. So 15 411 deaths (as of today, including 5 121 probable deaths) suggests COVID-19 has a fatality rate of MINIMUM 0.9% which is in line with previous estimates (between 0.5 and 1.6%) and this is MINIMUM 9 times more fatal than the flu (0.1%). Edited to add "MINIMUM", as there is a lag between case detection and death (I should have known better to…
Preliminary test results suggest 21% of NYC residents have Covid antibodies
491–500 of 679 posts
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#492Earlier quoted context omitted.
What? All of these numbers are inline with what experts have been saying and modeling for more than a month. We will be dealing with this for at least another year. We will cycle through policy to loosen up and close back down a little. In the best case for NYC they are 1/4th of the way to herd immunity in numbers. With the drop in transmissions, this might be 1/8th of the way in terms of time. There will be more dea…
25% prevalence is absolutely not in line with what experts were saying on March 23rd. Nor was an IFR of 0.5%. The CDC reports that flu has an IFR of ~.13% in the US (61,000 deaths out of 45 million cases). That makes 0.5% roughly 3.3 times worse, not 10. Also, herd immunity does not require 100% having positive antibodies, it will show an effect on Ro starting around 65%.
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#493Earlier quoted context omitted.
The more often they go, the more likely you encounter them.
True, but if you encounter one daily shopper, two weekly shoppers and twenty monthly shoppers, it will skew the results. Same if the numbers are reversed.
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#494Earlier quoted context omitted.
> the Bayesian prior is that common colds in general become less prevalent during the Summer, and Covid19 is caused by a coronavirus, which is related to viruses causing the common cold MERS is also a coronavirus and does just fine in the warm climate of the middle east. I hope that warmer temps slow the spread, but it's far from certain.
It's not just far from certain. It is simply unlikely. The "hypotheses" for explaining seasonal variations in transmissibility are nothing but a wild-guess/hope.
Maybe Africa and Brazil are faking the numbers, but Australia most likely not. Only 76 deaths so far. Argentina has recorded only 159 deaths.
You could say this is only circumstantial evidence. My point is that we are not trying to prove things "beyond any reasonable doubt". We are trying to form the most informed opinion. And there are quite a few factors that point in the direction of reduced infectiousness during the Summer. Schools closed? Check. People away for vacations? Check. More UV light which kills airborne viruses? Check. People having more vitamin D in their bodies? Check. Air more humid, so the tissue inside your nose is better protected? Sure thing. Better immune systems due to less stress due to the ambient light? Sure thing. Etc, etc.
You can question any of these things. But in a Bayesian framework they tilt the scales little by little. But that's just me.
[1] https://news.google.com/covid19/map?hl=en-US&gl=US&ceid=US:e...
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#495Earlier quoted context omitted.
All three studies created their sample groups differently. Are all three methods flawed in some way? Sure. Is it more reasonable to completely ignore the picture all three are painting or to consider there might be something to the trend?
> Are all three methods flawed in some way? Sure. They're not just all flawed in some way -- along at least one dimension they are flawed in the same way , that is, they all have a biased sample of the population that seems more likely to be infected than a true random sample. So, sure, they're "created differently", i.e., they're not all facebook ads, or grocery stores, but all those methods bias towards higher infe…
We've been systematically biasing toward testing the old and infected for months now. Why should rates derived from PCR testing with known severity bias considered a strong prior, yet rates derived from serological surveys with hypothetical severity bias be disregarded for the same reasons?
At this point, we have many different studies from different parts of the world -- each with its own methodological flaws and biases -- and yet all are pointing in the same direction: a systematic under-count of cases, and an IFR somewhere between 0.5% and 1%, with a bias toward the lower value.
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#496Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#497Earlier quoted context omitted.
We've said approximately as dangerous. It clearly is in a very similar ballpark. We don't have enough data right know to know if it's twice as dangerous for people under age 30, or half as dangerous. (We do already know it's -way less dangerous- for people under age 18).
Ok, maybe this dispute is based on different definitions. I don't think 2X is "approximately", but I do agree that we don't have enough data right now to know the exact difference so I can't say for sure that COVID-19 is more than 2X as dangerous. I also agree that COVID-19 does appear to be way less dangerous for the under 18 group. However practically none of the under 18 group is able to isolate themselves away fr…
I think we have enough data to exclude more than 2x. The range of potential danger has influenza's risk right in the middle of it.
> I also agree that COVID-19 does appear to be way less dangerous for the under 18 group. However practically none of the under 18 group is able to isolate themselves away from the 18 and over group so there is no real societal benefit to this distinction.
There's a huge societal benefit to this distinction, because if children are at relatively low risk, and also do not seem to be index cases very often for how COVID-19 is spread to households, schools can reopen. This is different from most diseases, where schools are often a key mechanism of disease spread. e.g. see https://www.medrxiv.org/content/10.1101/2020.03.26.20044826v...
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#498Earlier quoted context omitted.
The death rate of 0.5% falls right in the range of what modelers have been using, by the way. Not exactly very positive news.
It is very positive in that we can be more confident that our assumptions are close to reality. 0.5%*330M still equals 1.65M deaths, or (very roughly) 5M ICU beds. Spread out over 52 weeks, that's a lot of ventilators and ICU beds and PPE, but it is a target. A very big juicy target that we can and should aim directly at, and HIT.
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#499Earlier quoted context omitted.
Sure all of these studies are potentially flawed but they're all generally pointing in the same direction. There are many more infections than we know about and the CFR is not anywhere close to the actual IFR. NYC is an outlier with a 21% infection estimate but for the rest of NY (outside NYC metro/Westchester/LI) the estimate is 3.6%. Santa Clara estimate was 3%. LA County estimate was 4%. Seems like a trend is deve…
"Preliminary test results suggest 21% of NYC residents have Covid antibodies" Should be re-written as: "Preliminary test results suggest 21% of of people approached in a crowded grocery store and who would agree to give blood have Covid antibodies" All of these tests suffer the same sample bias, and that sample bias is massive. People who are already in a grocery store (risky behavior), who are willing to give a bloo…
For the same reasons, plus the likelehood that the virus arrived in NYC early and frequently, NYC's figures cannot be extrapolated to the rest of the state or country.
I would like to see how these figures match up to the sewage-sampling method of estimation.
Re: Preliminary test results suggest 21% of NYC residents have Covid antibodies
#500Earlier quoted context omitted.
There's no reason to interpret the serological study to think a higher R0 is implied, which is what you said. The only way that missing cases affects estimates of R0 from time series is if we're missing a much bigger proportion of cases now than we were in the past. All the evidence I've seen leans the other way-- more testing, better testing, more cases diagnosed by "presumed" criteria. So, it actually implies the o…
I am not interpreting it that way, I believe in the consensus estimates. The parent commenter (articbull) thinks these serological studies (SC, LA, and to a lesser degree NY) prove that the IFR is much lower than we thought because the actual infection numbers are much higher. The NY study, using reasonable assumptions, looks like the IFR might be between 0.5% - 1.0%, but the SC study was claiming 0.1-0.2%. And I am…
I don't necessarily believe the Santa Clara County study, but there are plenty of other alternatives, including a pretty likely one: gross undercounting at the start of the epidemic and/or earlier cryptic spread in communities. This is something that SCC public health officials / Dr. Sara Cody has stated in recent days is her belief-- I am not sure I agree.
At this point we're accumulating a lot of evidence IFR is 0.3-0.5%.