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The CDC estimate (IFR 0.26%, S-IFR 0.4%) is heavily criticized because it ignores, thus predates, the 3 largest and most reliable serosurveys which all indicate
by mrb 6y ago
The CDC estimate (IFR 0.26%, S-IFR 0.4%) is heavily criticized because it ignores, thus predates, the 3 largest and most reliable serosurveys which all indicate an IFR of ~1% (S-IFR ~1.54%, assuming 35% of cases are asymptomatic):
1.0% in Brazil based on 25,025 samples https://twitter.com/GidMK/status/1267670267624476672 https://twitter.com/GidMK/status/1267670267624476672
1.14% in Spain based on 60,897 samples https://twitter.com/zorinaq/status/1265405628853305345 https://twitter.com/zorinaq/status/1265405628853305345
0.92% in NYC and 0.84% in New York State based on 15,101 samples https://twitter.com/GidMK/status/1267669314657611777 https://twitter.com/GidMK/status/1267669314657611777
Also YYG, the guy who runs https://covid19-projections.com/ https://covid19-projections.com/ (a model that has consistently produced the most accurate forecasts) reported his model found that a ~1% IFR gave the best fit: https://mobile.twitter.com/youyanggu/status/1256051255253757953 https://mobile.twitter.com/youyanggu/status/1256051255253757...
Note: S-IFR is the fatality of symptomatic cases only. IFR is the fatality of all cases (asymptomatic and symptomatic)
- cm2187 6y agoThe wider NY state has an IFR of 0.5%. The IFR should also be very sensitive to the demographics of the infection. Both the UK and NY State had a policy of sending recovering (but potentially contagious) older covid patients back to nursing homes and it would have exacerbated the mortality rate vs regions that did a better job at protecting the elderly. I am also starting to hear some noise that there might be cross immunity between this virus and previous coronavirus. In a recent video Prof Raoult was suggesting it might explain the low infection rate of people under 20 [1]. I am not qualified to tell whether the theory has any leg but it may be that we underestimate the spread of the virus when looking at a specific antibody. [1] https://www.youtube.com/watch?time_continue=734&v=zUbiYhknaK0&feature=emb_logo https://www.youtube.com/watch?time_continue=734&v=zUbiYhknaK... (in french)
- acqq 6y ago> Both the UK and NY State had a policy of sending recovering (but potentially contagious) older covid patients back to nursing homes and it would have exacerbated the mortality rate vs regions that did a better job at protecting the elderly. Isn't the death rate the percentage of population that dies when all are infected? Then nothing can be "exacerbated" by that alone? It then just reflects the death rate which results from the people being infected, no matter the speed?
- cm2187 6y agoThe rate quoted by the parent, I believe, is the number of deaths divided by the number of people estimated to be infected, by prorating an antibody test sampling to the wider population. So that doesn’t assume everyone got exposed to the virus, and assumes the sampling is a representative sample (but in NY it was sampled in grocery stores, which tells you nothing about infection rate in nursing homes that made up 40% of the deaths).
- acqq 6y ago> the number of deaths divided by the number of people estimated to be infected, by prorating an antibody test sampling to the wider population. So that doesn’t assume everyone got exposed to the virus To get the rate one can indeed calculate it with smaller representative sample, but that just doesn't imply that the vulnerable people would somehow never become infected if the epidemic continues, so the deaths of the old can't be avoided then. That the old die much more is a fact, and nothing that by itself "exacerbates" the rate. Edit: I haven't seen any argument that estimated more than 20% of NY population that were supposedly infected were somehow specially skewed sample to hit only old people, and I'd argue that if the sample is that big it's quite improbable. If the argument is that the virus got faster in the nursing homes, one can also argue that all the old people outside of nursing homes skewed in the another direction by managing to initially not get the infection, but that as epidemic progresses they would indeed eventually become infected and suffer. Edit2: "the virus is rather showing signs of going away" claim is very curious to me. I don't see it "going away" looking at all the statistics across the different parts of the world. I see only the slowdown of the spread, which corresponds to people generally changing their behavior to slow it down.
- cm2187 6y agoBut that sample may not be representative of the demographics of the people who got infected. It is possible that a lot more people in care homes have been infected than the grocery store sample, because of the policy of sending covid patients there (and the fact that the staff must have physical contact with each of the patients every day and therefore it will spread within a care home may very quickly). If it is the case, you don't expect the same death rate to scale up as the wider population continues to get infected (if it is still happening, the virus is rather showing signs of going away).
- mrb 6y agoNY State does not have an IFR of 0.5%. You are probably quoting Cuomo's press briefing https://www.ny1.com/nyc/all-boroughs/news/2020/04/23/governor-cuomo-daily-coronavirus-update-with-first-antibody-test-results https://www.ny1.com/nyc/all-boroughs/news/2020/04/23/governo... which claims 0.5% based on this math: 15740 deaths ÷ 2700000 infected = 0.58% (they round to 0.5%) However they note that the official state death count (15740 deaths) «only indicates deaths that happened in a hospital or a nursing home, and does not include coronavirus-related deaths that occurred in a home, which means the official death count is likely higher than that official number» The true number of deaths, including home deaths, is 20759 as of the date of Cuomo's press briefing, April 24 (source: https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv https://raw.githubusercontent.com/nytimes/covid-19-data/mast...) Furthermore, all the figures quoted by Cuomo were provisional, mid-study. The serosurvey actually completed on April 28 and was published here: https://www.medrxiv.org/content/10.1101/2020.05.25.20113050v1 https://www.medrxiv.org/content/10.1101/2020.05.25.20113050v... The final figures as of this date were: 22777 deaths ÷ (19450000 state population × 14.0% infected) = IFR of 0.84% It is important to take deaths as of April 28 in order to minimize right censoring. «Both the UK and NY State had a policy of sending recovering patients to nursing home» Spain and Brazil did not do this and still exhibit an IFR of 1% add per the serosurveys I referenced.