Earlier quoted context omitted.
I'm not too sure reinfection is as important mathematically as some think when you realize the goal will be to operate below a threshold of cases, not eliminate covid entirely.
The problem is that Covid-19 spreads extremely fast in unprepared populations. It only takes one unaware person to infect hundreds. Check out what happened in South Korea where they had the problem contained until one woman decided to go to church.
California’s Roadmap to Modify the Stay-at-Home Order [pdf]
71–80 of 406 posts
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#72Earlier quoted context omitted.
Really? New York current has quite a few times the casualties of all of China (10834 vs 3341) with a small population than Wuhan and the casualties haven't stopped there. New York by itself has one of the high casualty levels in the world by any measure.
Any comparison using the officially reported death toll in Wuhan at face value is of no value whatsoever.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#73Am I missing something? I don't see any kind of roadmap in here - it's just 6 generic talking points without any actual plan or timeline.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#74Earlier 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.
However, in the case of a virus, you eventually run out of population to consume; so you tweak the model to be "Let the rate of infection be the probability that a infected person encounters a non-infected person" (nicely, for a large population, this will give you the same results initially). This is, approximately, proportional to the product of the number of people who are infected times the number of people who are not infected (think back to chemical reagents and reaction rates). That is, (1-infected(t)) * infected(t). A function who's rate of change is that is the logistic function (and you can verify by taking the derivative of 1/(1+e^-t))
This is a simple model, ignores geography, ignores population change, and ignores changing behavior. It basically pretends everyone is an ideal gas molecule in a volume. But if you want to model something that "grows exponentially with a limit" it works alright.
I don't know under what assumptions the rate of change would yield a bell (normal) curve. (e^-x^2).
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#75A real plan would look like this https://imgur.com/spemOeG specifying the levels of restrictions and the metrics we will use to track the metrics. This allows people to understand what to expect the best possible. We already have huge uncertainty, we don't need to add uncertainty of government response on top of uncertainty of the virus. I think there is huge room to debate the numbers and what goes in what level, bu…
Yes, I agree. What’a really upsetting is they try to justify why less transparency is good thing. When they are using this only as way to impose their authority.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#76Earlier quoted context omitted.
In the live address they said that most implementations will be left to the county and local govts. The state isn't giving any specific guidance on masks, for example, leaving that to specific locales.
LA county now requires anyone entering an essential business to wear a mask.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#77Earlier quoted context omitted.
Different regions have dramatically different population densities, and don't necessarily need shelter-in-place rules. In NYC, shelter-in-place is probably the only feasible way to reduce social interactions when case-count is exploding, but in Boise, where people mostly live in detached housing and drive cars and cases are measured in the hundreds, it might be sufficient to eliminate large gatherings and shut down r…
> don't necessarily need shelter-in-place rules Is there a cite for that? Because that's not the way the data looks. Everywhere was growing with roughly the same exponent before lockdown. The numbers were bigger in NY because it grew longer pre-detection, but there's no reason to believe that everywhere else was any different. Really this disease's growth constant looks shockingly consistent almost everywhere in the…
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#78I personally think we need a county-by-county approach. There is a high variation of the infection at local levels. All the news is currently about how bad New York is and it's true but we're not all New York. http://www.countycovid19.com/
Thanks for sharing the link. But how do you enforce stay-at-home policies or any rigorous public health policies, in populated counties that border each other, such as San Francisco and San Mateo counties, or LA and Orang counties.
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#79Earlier quoted context omitted.
Really? New York current has quite a few times the casualties of all of China (10834 vs 3341) with a small population than Wuhan and the casualties haven't stopped there. New York by itself has one of the high casualty levels in the world by any measure.
Any comparison using the officially reported death toll in Wuhan at face value is of no value whatsoever.
And, honestly, the US numbers are highly inaccurate as well due to a simply lack of an ability to test (instead of a lack of will to publish the real numbers).
Re: California’s Roadmap to Modify the Stay-at-Home Order [pdf]
#80Earlier quoted context omitted.
Different regions have dramatically different population densities, and don't necessarily need shelter-in-place rules. In NYC, shelter-in-place is probably the only feasible way to reduce social interactions when case-count is exploding, but in Boise, where people mostly live in detached housing and drive cars and cases are measured in the hundreds, it might be sufficient to eliminate large gatherings and shut down r…
> don't necessarily need shelter-in-place rules Is there a cite for that? Because that's not the way the data looks. Everywhere was growing with roughly the same exponent before lockdown. The numbers were bigger in NY because it grew longer pre-detection, but there's no reason to believe that everywhere else was any different. Really this disease's growth constant looks shockingly consistent almost everywhere in the…
No, they weren't. You're just asserting that this is true. There's effectively no way to know what the doubling rate was in a place like Boise before the national lockdown, because the numbers were in the low single digits:
https://covid-19.direct/metro/Boise?tab=glance
But even ignoring that...the site you're linking to shows a wide range of slopes on the per-state graph. You just think they look the same, because the log Y-axis compresses dramatic differences in scale, particularly near the origin. New York, NJ, Michigan and Louisiana are well above the diagonal line, while states like Wyoming, Montana, Vermont, Maine etc. are all well below it.