On the valid criticisms of the data...... I found the first web site below on Sunday when the emerging sense of what we're talking about here - bad data informing public health policy - made me doubt the effectiveness of the steps being advocated by the Trump administration, those steps filtering quickly down to the local level in Florida. You gonna close my favorite bars and restaurants in Fort Lauderdale, shelter in place, cancel my cruise? Your gonna crush my retirement portfolio? Wait a minute.....
While the data may be flawed, it's what we have for now and by all accounts, it's not that bad to the extent that CFR and Growth Factor and R0 (infectiousness - I note this because I want to make sure this is what you're talking about, talent) are not exponentially wrong one way or the other. We're not yet at the point where globally or in the US, the curve is flattening.
The other stuff, as has been mentioned here many times, total cases, death counts, are not that useful other than to scare the shit out of those that may not understand or find explanations of CFR, GF, R0 ..... TL;DR.
NB, if this is your first reading of this link, you have to wade through all the intro stuff to get to the graphs.I recommend a skim. If not, go to the graphs/charts. They are current as of yesterday evening.
So, all of the shit that's going down involves one fundamental question: does social (physical) distancing work to contain or mitigate the spread of COVID-19? If you want to work your way through this link, the answer is yes. My read, however, is that the accuracy of the entire calculation done at the link rests on an assumed R0 value of 3.5. I think that is is too high, admittedly just a hunch.
TBF, my doubt about the assumed value of R0 is that while I might believe R0 is high, it's not exponentially high such that the conclusion in the SCIR (Susceptible, Exposed, Infected, Recovered) modeling might be wrong - social distancing in all its forms works. The question then is how long do we have to keep this up ..... and when can I go on my next cruise?
While the data may be flawed, it's what we have for now and by all accounts, it's not that bad to the extent that CFR and Growth Factor and R0 (infectiousness - I note this because I want to make sure this is what you're talking about, talent) are not exponentially wrong one way or the other. We're not yet at the point where globally or in the US, the curve is flattening.
The other stuff, as has been mentioned here many times, total cases, death counts, are not that useful other than to scare the shit out of those that may not understand or find explanations of CFR, GF, R0 ..... TL;DR.
NB, if this is your first reading of this link, you have to wade through all the intro stuff to get to the graphs.I recommend a skim. If not, go to the graphs/charts. They are current as of yesterday evening.
So, all of the shit that's going down involves one fundamental question: does social (physical) distancing work to contain or mitigate the spread of COVID-19? If you want to work your way through this link, the answer is yes. My read, however, is that the accuracy of the entire calculation done at the link rests on an assumed R0 value of 3.5. I think that is is too high, admittedly just a hunch.
TBF, my doubt about the assumed value of R0 is that while I might believe R0 is high, it's not exponentially high such that the conclusion in the SCIR (Susceptible, Exposed, Infected, Recovered) modeling might be wrong - social distancing in all its forms works. The question then is how long do we have to keep this up ..... and when can I go on my next cruise?
Comment