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Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

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Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#131
post #116
post #80

Earlier quoted context omitted.

This also assumes that acquired immunity from an infection is complete and permanent. Immunity to other coronaviruses decays over a year or two -- meaning that before the five years are up in your scenario, there would be a significant cohort of prior victims open to reinfection. See, e.g., https://www.nature.com/articles/s41591-020-1083-1

So, maybe that means by slowing the infection, what we're really doing is ensuring a neverending slow wave of infections ... forever? Maybe what normally happens with these kinds of viruses is they infect everyone then die out? And if you slow that, they never die out?

I don't think so. For instance, coronaviruses are among the causes of common cold. That one seems to have been with us for a while.

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#132
post #2

So, according to this paper 34.2-47.5% of US citizens need immunity before the pandemic can be declared over? So best case scenario we can achieve herd immunity with roughly 100M infections/recovered. USA is currently at ~8M infections/recovered, so that means we are roughly 8% of the way to herd immunity (best case). At the current rate of +50K infections per day, that's 20 days per 1M infections, so we need 20 days…

No, we are undercounting the number of people who have it (asymptomatic or not) by a huge factor. at one point it was by a factor of 10, but I doubt that is still the case.

This is why I watch florida like an eagle, because if it stops going up there we know we got a very good estimate to know when the top is.

~2.5-3% (730k/21.5m) of Florida has had it and it's slowed dramatically (use to be like 16k/day now down to 3). It feels reasonable that herd immunity starts slowing down the virus pretty fast somewhere around 25-30%. It seems reasonable it may come to a complete halt by 47%.

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#133
post #108

Earlier quoted context omitted.

I think the reason that HN, Reddit et al. have this impression is that state policies in conservative states are explicitly less restrictive than those in less conservative states. Florida just removed all stadium event attendance limits, for example. Within any given state there are all kinds of political beliefs and economic situations that may be more or less correlated with spread, but state governance is a very…

And yet New York and California, both states with primarily liberal policies, have more cases than anyone else. It's pretty obvious to people watching that the impression was created by liberal media that just wants to bash conservatives. A cursory check of the numbers shows that it has no basis in reality.

California is roughly the median state in terms of total per capita cases at this point.

Top 5 states:

Louisiana, Mississippi, Florida, North Dakota, Alabama

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#134
post #108

Earlier quoted context omitted.

And yet New York and California, both states with primarily liberal policies, have more cases than anyone else. It's pretty obvious to people watching that the impression was created by liberal media that just wants to bash conservatives. A cursory check of the numbers shows that it has no basis in reality.

California is roughly the median state in terms of total per capita cases at this point. Top 5 states: Louisiana, Mississippi, Florida, North Dakota, Alabama

California under reports deaths quite a lot though, they are much worse at reporting deaths than average for USA.

https://www.nytimes.com/interactive/2020/05/05/us/coronaviru...

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#135

Earlier quoted context omitted.

There was a recent study of dialysis patients: https://www.thelancet.com/journals/lancet/article/PIIS0140-6... TLDR: "During the first wave of the COVID-19 pandemic, fewer than 10% of the US adult population formed antibodies against SARS-CoV-2, and fewer than 10% of those with antibodies were diagnosed."

That's for the month of July 2020, which is useful, but not enough. We need trend data for this.

The trends won't really tell you much as we get further into the pandemic. Just because someone lacks a detectible level of antibodies doesn't necessarily mean they are susceptible.

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#136
post #18

Earlier quoted context omitted.

Well, we could get to 2MM faster if we opened everything up for the less-vulnerable populations (i.e. everyone under 50 without obesity or heart conditions) for whom the survival rate is above 99.99%. You might then be looking at 500k a day rather than 50k.

That is a good strategy. Unfortunately, ppl with survival rate above 99.99% might live with more vulnerable population. It'll be difficult to figure out how to effectively quarantine the more vulnerable population away from the less-vulnerable.

Travel is still way down. There are many vacant hotel rooms.

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#137
post #116
post #80

Earlier quoted context omitted.

This also assumes that acquired immunity from an infection is complete and permanent. Immunity to other coronaviruses decays over a year or two -- meaning that before the five years are up in your scenario, there would be a significant cohort of prior victims open to reinfection. See, e.g., https://www.nature.com/articles/s41591-020-1083-1

So, maybe that means by slowing the infection, what we're really doing is ensuring a neverending slow wave of infections ... forever? Maybe what normally happens with these kinds of viruses is they infect everyone then die out? And if you slow that, they never die out?

OTOH, a large number of infected people means a large pool of viruses to mutate into potentially re-infective strains.

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#138
post #64
post #23

Earlier quoted context omitted.

Why the massive downvotes?

Are you seriously suggesting we lock over 110,000,000 people (34% of the population) in close quarantine for the duration? How do you plan to feed them? Get them medical care (be sure you don't overwhelm the system with the under 50s that get sick)? Keep them from rioting against their captors? What happens when you decide it's good enough and release them, and the residual infection sweeps through that population li…

No one is seriously suggesting we forcibly lock vulnerable people in close quarantine. Instead we should provide those at greatest risk with free hotel rooms if they want to quarantine on a voluntary basis.

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#139

Earlier quoted context omitted.

California is roughly the median state in terms of total per capita cases at this point. Top 5 states: Louisiana, Mississippi, Florida, North Dakota, Alabama

California under reports deaths quite a lot though, they are much worse at reporting deaths than average for USA. https://www.nytimes.com/interactive/2020/05/05/us/coronaviru...

I was using COVID case data, not COVID deaths.

In any event TX, NJ, and FL all have similar reported COVID deaths, but CA has fewer excess deaths than TX or NJ. Some of that is probably due to e.g. reduced automotive mortalities under more stringent lockdown, but I don't think the data you posted indicats that CA is e.g. worse than the other 3 states at reporting COVID deaths (otherwise we would see a much higher excess death count in CA compared to those 3 states).

Re: Updating Herd Immunity Models for the US: Implications for the Covid-19 Response

#140
post #51

Earlier quoted context omitted.

I guess to clarify, it has been my impression that the healthcare industry are the people telling us we are not doing enough testing. We attempted to get tested and they said no, not worth the bother. That seems contradictory to me.

The healthcare industry (and the CDC) and (almost?) every qualified expert is arguing that we are not doing enough testing. And we aren't. Part of the reason we are not doing enough testing is that we simply don't have the capacity and Dr.s' are being told that capacity is restricted and tests should be carefully considered on a case by case basis. The above is non-uniformly distributed in that there are some areas o…

If we had more testing capacity what would that change? What would it allow us to do that we aren't doing now?

Japan did very little testing and has a relatively low death rate so far.

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