Firstly, there is 10 weeks of evidence on what other countries have done to avoid transmission. Taiwan, Vietnam, South Korea, China, and Japan all show a variety of strategies and have some successes under their belts. Sure, it’s messy social data, and they have systematic differences from other countries, but it’s real data about what is working. Ioannidis says: “If we assume that case fatality rate among individual…
> “If we assume that case fatality rate among individuals infected by SARS-CoV-2 is 0.3% in the general population — a mid-range guess from my Diamond Princess analysis — and that 1% of the U.S. population gets infected (about 3.3 million people), this would translate to about 10,000 deaths.” Why would we use the Diamond Princess CFR instead of China's, or Italy's, or South Korea's? Where does the idea of 1% come fro…
Covid-19: the harms of exaggerated information and non‐evidence‐based measures
401–410 of 462 posts
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#402Earlier quoted context omitted.
The response will have it consequences too, lost lives, destroyed businesses, ruined families, lost requirement savings.
What ruins families more, a breadwinner losing their job due to a shutdown or spending a month in the hospital? P.S. You're probably not getting paid wages during that month in the hospital. Have fun paying off those ICU medical bills when you get back if you still have a job somehow and weren't replaced by someone who wasn't on a ventilator. Unemployed parents are at least around to look after the kids. A parent sic…
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#403Earlier quoted context omitted.
The Dimond Princess was evacuated. It’s passengers where unusually healthy for their age range, and while older than the general population had few people over 85 which is the most at risk population. Further, these people got world class care from experts and whatever minimal care an overworked heath system could provide. Given all that they still had 9 deaths out of 712 infected with many still in critical conditio…
> It’s passengers where unusually healthy for their age range based on what?
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#404Earlier quoted context omitted.
>Why would we use the Diamond Princess CFR instead of China's, or Italy's, or South Korea's? because everyone on the diamond princess was tested. So we know for sure how many cases we are dealing within the sample. ~0.3 and ~0.9% are also not optimistic guesses but the current numbers for Germany and SK. Italy sits at 9%. So the situation is either that Italy is vastly underestimating cases, or Germany and South Kore…
Go check South Korea's numbers again. As their cases have resolved, death rate has steadily increased, and it's now at 1.33%. It will continue to rise. Same with Germany, it just takes time to die. South Korea had already found majority of their current cases 2-3 weeks ago, but deaths are only now picking up. Edit: now 1.37%, up again since I checked a couple hours ago. The same rise in death rate was observed way ba…
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#405Earlier quoted context omitted.
Weirdly enough, just yesterday I took all available sequence data currently on GISAID, used it to estimate R0, and got ... 1.3.
If that were true then how can you possibly explain how rapidly the pandemic is spreading?
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#406Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#407Earlier quoted context omitted.
In normal times Italy has a death rate of 10 deaths/1000 people. Which translates to ~1500 daily for a population of 60 millions. What were they doing previously with the dead?
Those people haven't stopped dying. As a comparison, 700 people have been dying every day for covid-19 in Italy. Also deaths are not (yet) evenly distributed but greatly concentated in the north.
Right... they're dying from covid-19.
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#408Earlier quoted context omitted.
>> An economy is not something that one should have to shovels lives into to keep going. I mean I want to agree in principle, but this is just an incorrect statement. It's a matter of what is a good-enough tradeoff of risk and reward. If you make people drive to work, some will die. If you want to mine lithium, some people will die in industrial accidents that wouldn't have died if you never built a lithium mine. If…
There is no trade-off. Exponential functions are pretty binary. We contain this (R0 A core problem is that we're not looking at how to mitigate damage to the economy. We can handle a month or two of the economy shutting down, no problem. You'll get your new car 2 months later. Most of the damage is auxiliary: businesses going bankrupt, people defaulting on mortgages, etc. All of that can be mitigated with the right m…
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#409Earlier quoted context omitted.
It's also possible that Italy is vastly unlucky for some generic reason, considering most of the deaths are in a particular region of the country and among an age bracket that is less cosmopolitan and more likely to reflect limited geographic genetic dispersion.
Italian here. The most probable cause for that is that these areas started being affected earlier, so the virus had more time to spread before the lockdown.
Re: Covid-19: the harms of exaggerated information and non‐evidence‐based measures
#410Earlier quoted context omitted.
But prove that this matters. How many people are in that group? Is it not possible to quarantine the workers?
Prove that what matters? That they meet tons of working age people? As you say you can expand the circle of isolation. All the at-risk patients (Say people over 65 and all adults with preexisting conditions). Then you isolate those people that they have to interact with. For example all staff at all nursing homes where any such person lives. But you quickly end up where you started. All the people who work in all the…