16,600~ deaths in New York City now.
The IFR is getting closer to 1% as the backlog is fleshed out and the median time to death vs median time to IgG antibody production is matched (IgG antibodies present themselves at a median time of 14 days whereas median time to death after symptom onset is 18.8 days + 5 days median incubation, for a total of 23.8 days — meaning all deaths attributable to this 21.2% are not accounted for yet.)
0.2% of New York City has died, further confirmation that the FHM has wildly underestimated this virus even after adjusting their IFR upwards.
Note that New York reports a roughly 90% mortality rate for intensive care patients, evidence they are not triaging in the same way we are and that everybody is given a fighting chance at survival. However, this means of the 780 or so patients in their intensive care unit, 700 will die. This gives us 17,300 deaths and a 0.97% IFR — which will be skewed higher as backlog reports come in (they admit to a backlog in statistics).
Note that a 1% IFR in New York City does not equal a 1% IFR in Sweden. While Sweden is healthier, with less obesity and general health complications — one in five people in Sweden are over the age of 65 compared to one in eight for New York City. This will likely skew our base-IFR higher.
Assuming a 1% IFR, we can calculate different outcomes based on the percentages required for herd immunity. The highest I have seen is the CDC’s appraisal at 82% and the lowest I have seen is the FHM’s appraisal of 50%.
IFR = 1% (base) — this is our best-case scenario where adequate care can be given to everybody, and resources are available.
50% = 50,000+ deaths
60% = 60,000+ deaths
70% = 70,000+ deaths
82% = 82,000+ deaths
Considering our triage methods, I personally believe this will skew our IFR somewhere between 1.5% to 2%. Care is beginning to become stretched as resources are thin, and patients are actively triaged against. This is where I personally believe we’ll end up if hospitals do not collapse further.
IFR = 1.5% (lower-bound current)
50% = 75,000+ deaths
60% = 90,000+ deaths
70% = 105,000+ deaths
82% = 123,000+ deaths
IFR = 2% (higher-bound current)
50% = 100,000+ deaths
60% = 120,000+ deaths
70% = 140,000+ deaths
82% = 164,000+ deaths
If our hospitals collapse further then adequate care will not be given to any patient, as resources will be stretched extremely thin. Triaging will become far stricter as the age cut-off becomes younger. We can assume a 3% IFR in this situation. This is the hard collapse scenario, and the one I believe we are heading towards unless immediate action is taken.
IFR = 3% (hard collapse)
50% = 150,000+ deaths
60% = 180,000+ deaths
70% = 210,000+ deaths
82% = 246,000+ deaths
We also have the complete collapse scenario in which no care at all is given to those who need medical care to survive. This is in the event of resources running out completely, an overwhelming majority of doctors becoming sick, or hospitals being abandoned. I’d estimate this at around a 5% IFR.
IFR = 5% (complete collapse)
50% = 250,000+ deaths
60% = 300,000+ deaths
70% = 350,000+ deaths
82% = 410,000+ deaths
Sources:
Press regarding antibody test findings. Note they calculate a 0.5% IFR but forget to account for clinically diagnosed deaths, the backlog and ICU patients + their mortality rate. ref. Bloomberg
11544 deaths, 5102 clinically diagnosed deaths reported on the 23rd ref. NYC government statistics (note they report a backlog and numbers will be higher today, not updated)
88% mortality rate for ICU patients in New York City. ref. medpagetoday
The IFR is getting closer to 1% as the backlog is fleshed out and the median time to death vs median time to IgG antibody production is matched (IgG antibodies present themselves at a median time of 14 days whereas median time to death after symptom onset is 18.8 days + 5 days median incubation, for a total of 23.8 days — meaning all deaths attributable to this 21.2% are not accounted for yet.)
0.2% of New York City has died, further confirmation that the FHM has wildly underestimated this virus even after adjusting their IFR upwards.
Note that New York reports a roughly 90% mortality rate for intensive care patients, evidence they are not triaging in the same way we are and that everybody is given a fighting chance at survival. However, this means of the 780 or so patients in their intensive care unit, 700 will die. This gives us 17,300 deaths and a 0.97% IFR — which will be skewed higher as backlog reports come in (they admit to a backlog in statistics).
Note that a 1% IFR in New York City does not equal a 1% IFR in Sweden. While Sweden is healthier, with less obesity and general health complications — one in five people in Sweden are over the age of 65 compared to one in eight for New York City. This will likely skew our base-IFR higher.
Assuming a 1% IFR, we can calculate different outcomes based on the percentages required for herd immunity. The highest I have seen is the CDC’s appraisal at 82% and the lowest I have seen is the FHM’s appraisal of 50%.
IFR = 1% (base) — this is our best-case scenario where adequate care can be given to everybody, and resources are available.
50% = 50,000+ deaths
60% = 60,000+ deaths
70% = 70,000+ deaths
82% = 82,000+ deaths
Considering our triage methods, I personally believe this will skew our IFR somewhere between 1.5% to 2%. Care is beginning to become stretched as resources are thin, and patients are actively triaged against. This is where I personally believe we’ll end up if hospitals do not collapse further.
IFR = 1.5% (lower-bound current)
50% = 75,000+ deaths
60% = 90,000+ deaths
70% = 105,000+ deaths
82% = 123,000+ deaths
IFR = 2% (higher-bound current)
50% = 100,000+ deaths
60% = 120,000+ deaths
70% = 140,000+ deaths
82% = 164,000+ deaths
If our hospitals collapse further then adequate care will not be given to any patient, as resources will be stretched extremely thin. Triaging will become far stricter as the age cut-off becomes younger. We can assume a 3% IFR in this situation. This is the hard collapse scenario, and the one I believe we are heading towards unless immediate action is taken.
IFR = 3% (hard collapse)
50% = 150,000+ deaths
60% = 180,000+ deaths
70% = 210,000+ deaths
82% = 246,000+ deaths
We also have the complete collapse scenario in which no care at all is given to those who need medical care to survive. This is in the event of resources running out completely, an overwhelming majority of doctors becoming sick, or hospitals being abandoned. I’d estimate this at around a 5% IFR.
IFR = 5% (complete collapse)
50% = 250,000+ deaths
60% = 300,000+ deaths
70% = 350,000+ deaths
82% = 410,000+ deaths
Sources:
Press regarding antibody test findings. Note they calculate a 0.5% IFR but forget to account for clinically diagnosed deaths, the backlog and ICU patients + their mortality rate. ref. Bloomberg
11544 deaths, 5102 clinically diagnosed deaths reported on the 23rd ref. NYC government statistics (note they report a backlog and numbers will be higher today, not updated)
88% mortality rate for ICU patients in New York City. ref. medpagetoday
__________________
Senast redigerad av OUFCompulsive 2020-04-25 kl. 18:17.
Senast redigerad av OUFCompulsive 2020-04-25 kl. 18:17.