Earlier quoted context omitted.
It's not actually a very good analogy. A peeing section in a pool simply diffuses and doesn't spontaneously generate another high-density peeing section elsewhere in the pool. We wish Covid-19 would simply diffuse down with distance.
Did you ever swim in a pool and wonder why your eyes burned? That's not the chlorine alone. The ammonia in the piss combines with the chlorine to create chloramine, which causes the eye burning and respiratory problems associated with pool water. It doesn't even take that much piss in the first place, and once it diffuses in the water, it will affect the whole pool. I'd say it's an excellent analogy. Whether it's not…
California’s Roadmap to Modify the Stay-at-Home Order [pdf]
221–230 of 406 posts
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#222Earlier quoted context omitted.
It’s not 0.5% it’s closer to 2%. You don’t have a normal economy if people don’t want to go out in public or the supply chain is interrupted as workers get sick. A pandemic will harm the economy no matter what we do, these efforts, it is hoped, will reduce the impact while also saving lives and the hospital system.
What's your source for 2%? A recent study which was featured on Hacker News estimated the infection fatality rate at 0.66%. [1] I have seen a number of studies putting the case fatality rate at 2-3%, but this number cannot be generalized to the entire population because current testing is skewed toward the most serious cases. [2] Long-term mortality in the total population may look something like 0.66% * 0.7 assuming…
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#223Earlier quoted context omitted.
Why should infections follow a bell curve? Shouldn't it be the derivative of a the logistic curve, which should be approximately exponential on both ends. I don't see how a quadratic should show up in the exponent; either mathematically or epidemiologically.
Does anyone have the ability to walk through these explanations in a little more detail. I'm having trouble understanding why infections would be a bell curve, or derivative of a log curve.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#224This entire plan is based on models that do not align with what we are seeing. The graph on slide two[1] of the official CA govt plan shows hospitalizations With Intervention rising exponentially, exceeding our hospital capacity in early June. The actual new infection data shows that the rate of new infections has been decreasing since at least 4/4 [2], meaning that the graph of active hospitalizations should be a be…
Additionally, notice that the orange data points (actual hospitalizations) are significantly under the "With Intervention" plot. So why even include the slide? Clearly the assumptions behind the "With Intervention" plot do not match reality TODAY, let alone in a few weeks. Not a good sign if people are making actual decisions based on this.
The brighter dashed line is there to show what happens if intervention is disabled completely.
I really like that the milestones are placed as questions, rather than dates. It is the right way to message the unknown.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#225Earlier quoted context omitted.
When I turn on the news at night, I don't see the information for the county I intend to visit once it's deemed safe(er) to travel. I see the information for where I live.
If you’re going to travel to another county, you could check the website for that county to see their rules.
I don't imagine there will a increased multiplicity of confusing rulesets beyond what we have now, either. Many counties will simply adhere to some standard recommendation from their state, and the rest will copy one of a small number of recommended levels along a spectrum of openness.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#226Earlier quoted context omitted.
I think we all know each right has its limits when the greater good is at stake. Largely, it's intent that matters.
> Largely, it's intent that matters I'm sure Earl Warren said that to himself when he locked up the Japanese Americans during WWII.
Especially when the country isn't even sure about bump stocks.
How about we address such things on a case by case basis?
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#227Earlier quoted context omitted.
This plan also ignores the question of the majority of people who have likely been infected with no symptoms that could be identified with widespread Serology/Antibody tests. I find it alarming that this plan ignores that, is the governor priming is for population wide vaccination that is likely to be unnecessary? If we confirm widespread recovery and immunity then larger numbers of people can get back to life as usu…
The plan ignores that because people working on this are consistently finding infection rates of less than a few percent. Stanford tested 2888 samples that were negative for flu and other respiratory viruses and didn't find any positive for SAR-COV2 until Feb 21st and Feb23.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#228Earlier quoted context omitted.
It’s not 0.5% it’s closer to 2%. You don’t have a normal economy if people don’t want to go out in public or the supply chain is interrupted as workers get sick. A pandemic will harm the economy no matter what we do, these efforts, it is hoped, will reduce the impact while also saving lives and the hospital system.
What's your source for 2%? A recent study which was featured on Hacker News estimated the infection fatality rate at 0.66%. [1] I have seen a number of studies putting the case fatality rate at 2-3%, but this number cannot be generalized to the entire population because current testing is skewed toward the most serious cases. [2] Long-term mortality in the total population may look something like 0.66% * 0.7 assuming…
The paper has an overall estimate of the infection fatality rate for all ages of 0.2-1.6%.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#229For everyone who has tracked California’s response over the past month (the good and the bad), the #1 problem is obvious: a) California’s testing and reporting infrastructure is absolutely abysmal, arguably the worst in the country b) there are very few signs that it will improve anytime soon California leaders haven’t had to confront this publicly because much of the last one month had been focused almost exclusivel…
I would argue that reducing the rate of deaths is the #1 problem, followed by reducing the rate of infections, followed by being able to determine the rate of infections. So, unless you believe california results are 10x off, based on empirical results and your assertion that the testing and reporting infrastructure is "the worst", the state of california has at least done a fair job of managing its effort in the fac…
That said, I do think as new casualties and hospitalizations are on the decline, test reporting and infrastructure matters disproportionately more for the next phase (planning for gradual reopening) and phases after.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#230Earlier quoted context omitted.
San Miguel county in Colorado has found 0.5% of their population has confirmed antibodies after doing 1600+ tests (out of 8,000 people in the county). As another data point, the theory of this thing being widespread in the population seems far fetched to me.
Well, Gangelt showed 15% had antibodies (subject to, potentially fair criticisms re: methodology) so I think it's fair to say it varies by locale. While I understand that many folks from Wuhan travel all over the United States, the non-stop options from Wuhan to NYC and, if I recall correctly, SFO and LAX meant that more opportunities existed for early spread than the middle of Colorado. In fact, I can't actually pin…
[1] https://www.telluridenews.com/news/article_1547199f-46bc-547...