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COVID-19 Pandemic: Transmissions, Deaths, Treatments, Vaccines, Interventions and More...

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Thought this graphic was pretty cool. Shows the R0 (they're calling it Rt) which is a measure of current viral transmission rates, where 1 is the point at which the infection stops spreading (without interventions the R0 is somewhere between 2.3 and 5.7, from different papers - most are now thinking it's on the high side, i.e., if it's 5.7 that means every infected person will infect 5.7 other people - that's much higher than influenza). NY/NJ are right around 1 (would've thought it was lower), due to social distancing and CT is below 0.5 (I thought NJ would be closer to that). Not exactly sure how calculated...

6wxAFZm.png


https://rt.live/#learn-more

This is created by the guy who created instagram. In the description of how he calculates this he writes:

If you have questions, comments, or improvments feel free to get in touch: hello@systrom.com. And if it's not entirely clear, I'm not an epidemiologist. At the same time, data is data, and statistics are statistics and this is based on work by well-known epidemiologists so you can calibrate your beliefs as you wish. In the meantime, I hope you can learn something new as I did by reading through this example. Feel free to take this work and apply it elsewhere – internationally or to counties in the United States.

https://github.com/k-sys/covid-19/blob/master/Realtime R0.ipynb

He get's his raw data from here:

https://covidtracking.com/api/v1/states/daily.csv

He is using positive case reported for his stat of the new cases seen each day. This is the basis for his calculation:

states = pd.read_csv(url,
usecols=['date', 'state', 'positive'],
parse_dates=['date'],
index_col=['state', 'date'],
squeeze=True).sort_index()

In a quick read through his paper he gives no account for testing capacity and how that relates to positive test case reporting.
 
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Disagree completely. NY/NJ were hit earlier, likely due to much more international travel and regional commuting, when there was no testing and it spread a lot faster for the density/contact reasons discussed above. Earlier testing would have revealed the earlier outbreak, just like it did in SK, who was earlier than anyone but China. Testing was on line to at least some degree in most states by the time the outbreak hit them.
Then why not Washington state or California? We know it was there as early as it was in NYC.
 
So here's where I disagree and here comes some dirty little secrets. The hospitals are breeding grounds and virus factories. One hospital system where I am on staff is letting the docs back after a week as long as they're
asymptomatic for 72 hours and nobody knows or cares if they're blowing virus in the air or out their ass.
Yet at other systems you are required to be out for two weeks and show two negative PCR tests separated by a week apart. And we all know that there r sampling problems and don't know if people are getting reinfected or if it's just a sampling problem. So those negative people, are they truly negative and do they have a neutralizing antibodies present?
And this is a an infection that people get sick coincident with a high viral load as well and there's lots of high viral loads circulating around hospitals. It's a problem with the US system being so hospital-based. In Germany they have more docs doing a more concierge type of practice with the covid patients and doing house calls I believe with what they called covid mobiles, so they areable to keep people out of the hospital and they're doing a lot better.this virus loves the dysfunctional US healthcare system which is hospital-based and eats it alive. One administrator tried to pull a fast one on me a couple weeks ago to get me to go to a high viral load hospital on Sunday afternoon and only told me the "bait and switch hospital"at the end of the conversation. The whole time I thought he was talking about the hospital that my own patients were stationed at. The dude was just looking for a body and when I said I'd like to help but I wasn't familiar with the EMR at that particular hospital he said who cares " just jotdown a note and we'll scan it." I told the dude to get one of the young bucks from the hospital I'm familiar with to go over there and I'll do the young bucks shift.
Was reading an article on the spanish flu in the US, and St. Louis was a city that did really well relative to the rest of the country, and they did that by having doctors visit patients at their homes instead of having them all gather at the hospital.
 
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Then why not Washington state or California? We know it was there as early as it was in NYC.

As I noted earlier in this thread, a big difference is the early cases of Covid on the West coast came from Asia and the early cases in the NY area came from Europe. The early CDC testing protocols limited testing to those with travel (or contact with people who traveled) from Asia. So there was more early testing on the West coast, while infected people in the NY area couldn't get tested because they didn't meet CDC criteria.
 
SIAP but this study out of Stanford is showing after testing 3300 random people in Sata Clara county, 5% are carrying antibodies. There is some question (as always) about the accuracy of the test but if correct it suggest the death rate (IFR) from CoVid is 0.1% to 0.2% (similar to the Diamond Princess IFR of 0.5%). The bad news is that it also means that 95% of us do not have antibodies yet.

https://www.nature.com/articles/d41586-020-01095-0
 
Just saw a Remdesivir study where it’s performing very well on monkeys.
SIAP but this study out of Stanford is showing after testing 3300 random people in Sata Clara county, 5% are carrying antibodies. There is some question (as always) about the accuracy of the test but if correct it suggest the death rate (IFR) from CoVid is 0.1% to 0.2% (similar to the Diamond Princess IFR of 0.5%). The bad news is that it also means that 95% of us do not have antibodies yet.

https://www.nature.com/articles/d41586-020-01095-0

I’m guessing the NYC test will show similar, but hope it’s closer to 15%.
 
SIAP but this study out of Stanford is showing after testing 3300 random people in Sata Clara county, 5% are carrying antibodies. There is some question (as always) about the accuracy of the test but if correct it suggest the death rate (IFR) from CoVid is 0.1% to 0.2% (similar to the Diamond Princess IFR of 0.5%). The bad news is that it also means that 95% of us do not have antibodies yet.

https://www.nature.com/articles/d41586-020-01095-0
the stanford study has a lot of flaws according to many other scientists who have commented on it.
 
Wondering what the thinking is on this Georgia experiment. Will it explode in the Governor's face in a month or two? At this point I am so numb to this that I am viewing it as a decent but slow reality TV show.
I, for one, cannot wait to see the statistics following this bold opening. My gut tells me it will ultimately be viewed as a disastrous decision by the governor.
 
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SIAP but this study out of Stanford is showing after testing 3300 random people in Sata Clara county, 5% are carrying antibodies. There is some question (as always) about the accuracy of the test but if correct it suggest the death rate (IFR) from CoVid is 0.1% to 0.2% (similar to the Diamond Princess IFR of 0.5%). The bad news is that it also means that 95% of us do not have antibodies yet.

https://www.nature.com/articles/d41586-020-01095-0
Another study with sample size of 863 in LA county showing about 4% of the population has had it. Professor who led the study thinks they’re still early in the outbreak.

https://www.cnbc.com/2020/04/20/cor...p-to-55-times-bigger-than-reported-cases.html
 
Coronavirus related: free oil. Oil futures dropped ridiculous amounts to negative values over greatly reduced demand and no storage in the US, but the Dow is only down about 1.8% (some confidence on the US cases/deaths being down a bit?).

https://www.thestreet.com/markets/stock-market-today-dow-jones-industrial-average-042020
gas and diesel prices really show who consumes what fuel in U.S. Diesel down only 30 cents compared to over one dollar for gas. trucks, machinery and military demand for diesel keeping price up.
 
Another study with sample size of 863 in LA county showing about 4% of the population has had it. Professor who led the study thinks they’re still early in the outbreak.

https://www.cnbc.com/2020/04/20/cor...p-to-55-times-bigger-than-reported-cases.html
We need to test here in NJ ASAP. If we had 5% infection rate that would be 450,000 infections which would be a CFR of under 1%. Worse than the flu for sure but not something to destroy the entire world economy over. If we had closer to 15% then our death rate would be almost no different than the flu. If that were true then than many heads need to roll.

I originally thought we might have 15% but after the CA studies maybe it is more like 5%.
 
Wondering what the thinking is on this Georgia experiment. Will it explode in the Governor's face in a month or two? At this point I am so numb to this that I am viewing it as a decent but slow reality TV show.
I, for one, cannot wait to see the statistics following this bold opening. My gut tells me it will ultimately be viewed as a disastrous decision by the governor.
Wonder if he was asked to do this.
 
the stanford study has a lot of flaws according to many other scientists who have commented on it.
You're not kidding...interesting "academic comment" ripping that report for not properly accounting for false positives (which are much worse than false negatives for antibodies, since that can result in people walking around thinking the're immune when they're not; as opposed to the virus tests, where false negatives are worse than false positives) in the test and for the poor, non-random population sampling method (Facebook). It doesn't mean the numbers of 50-85X more positives than the viral tests show is wrong, per se, it just means the error bars on that number are likely pretty high.

https://statmodeling.stat.columbia....-in-stanford-study-of-coronavirus-prevalence/
 
You're not kidding...interesting "academic comment" ripping that report for not properly accounting for false positives (which are much worse than false negatives for antibodies, since that can result in people walking around thinking the're immune when they're not; as opposed to the virus tests, where false negatives are worse than false positives) in the test and for the poor, non-random population sampling method (Facebook). It doesn't mean the numbers of 50-85X more positives than the viral tests show is wrong, per se, it just means the error bars on that number are likely pretty high.

https://statmodeling.stat.columbia....-in-stanford-study-of-coronavirus-prevalence/

Swedish report from blood donations that 11% of people donating blood have antibodies to COVID-19 and are likely immune for at least awhile. They also stressed that the test they're using has low sensitivity, meaning there are likely false negatives (people who have antibodies, but the test doesn't show it), but that it has a "zero" false positive rate, meaning someone testing positive absolutely has it. According to them - I hope that's correct.

If true, that's another data point suggesting 10-20 or even 30% of people (higher % where the outbreaks were worse as some have proposed) could have been infected, most without symptoms, and now have immunity. The higher that number is the better, for the most part, as those folks should be able to go back to normal life without fear of getting or giving the virus - and the more who have had it, the less remaining who can get it, which will help slow transmission (but not stop it, especially if it's as transmissible as many experts now think).

https://www.svt.se/nyheter/inrikes/11-procent-av-stockholmarna-har-antikroppar-mot-covid-19
 
Swedish report from blood donations that 11% of people donating blood have antibodies to COVID-19 and are likely immune for at least awhile. They also stressed that the test they're using has low sensitivity, meaning there are likely false negatives (people who have antibodies, but the test doesn't show it), but that it has a "zero" false positive rate, meaning someone testing positive absolutely has it. According to them - I hope that's correct.

If true, that's another data point suggesting 10-20 or even 30% of people (higher % where the outbreaks were worse as some have proposed) could have been infected, most without symptoms, and now have immunity. The higher that number is the better, for the most part, as those folks should be able to go back to normal life without fear of getting or giving the virus - and the more who have had it, the less remaining who can get it, which will help slow transmission (but not stop it, especially if it's as transmissible as many experts now think).

https://www.svt.se/nyheter/inrikes/11-procent-av-stockholmarna-har-antikroppar-mot-covid-19
If this were true and say 15% of NYers had it (about 3 mil) then the CFR would be roughly 0.6-0.9%.
 
They really need to figure out a way for everyone to get antibody testing and then you need to have an app on your phone to show people if you’ve already had it
 
If this were true and say 15% of NYers had it (about 3 mil) then the CFR would be roughly 0.6-0.9%.
Kind of. If we calculate like the CDC does for influenza, there's deaths divided by symptomatic infections, which is equal to the number of "cases" since there isn't an appreciable number who get infected by the flu but are asymptomatic (or at least nobody cares about them). So the IFR equals the CFR for flu and that is the 0.1% number we hear a lot for flu, where ~35K die in a typical year for every ~35MM symptomatic infections (which are estimated by a model).

For a novel virus like this one, the CFR is the number of deaths divided by the number of confirmed (by the PCR virus test) cases, which has been in the 2-10% range in various countries. But calculating the IFR is far harder. Until now, we've mostly been testing symptomatic people, but we know that from the PCR viral tests on confined ships, over half of those who test positive are asymptomatic and, furthermore, with the new antibody test we're seeing that the number of people actually infected could be 5-20-50X the number who test positive from the viral test. So, the true IFR would be the number of deaths divided by the number of infected (as per the antibody test).

But yes, if the number of NYers infected as measured by antibodies is 15% or 3MM, then the IFR (not CFR) would be 18,300/20MM or 0.6% as of right now. Pretty sure my original guess for an IFR was 0.5-1.0% (although I have way too many #s in my head right now and need to check that) and Fauci published a 2/28 editorial in the NEJoM saying he thought the eventual mortality rate would be "considerably less than 1%."

https://www.nejm.org/doi/full/10.1056/NEJMe2002387?query=recirc_curatedRelated_article
 
Boo Yah! :ThumbsUp
Not yet. No results in that article. That's what I'm dying to see. We just keep getting snippets and unofficial reports that are "promising" but no real data yet. And for clinical trials we really shouldn't be getting data yet, as that's not the way it works (unlike that remdesivir video surfacing from a clinical meeting, which was highly irregular), but I wanna know, lol...
 
They really need to figure out a way for everyone to get antibody testing and then you need to have an app on your phone to show people if you’ve already had it
That's one possible future, but it might take months to scale this up: at 100,000 tests per day, that's 9 years to test 330MM Americans, so this is not a simple undertaking. We'd nee 10MM tests/day to be done in a month, which I assume only can be done efficiently at home. It's why we need at least representative, random population sampling as a start to know the true % infected in selected areas.
 
1800 of 2500 inmates at a Ohio prison tested for Coronavirus but only 5% showing symptoms..wow

5% showing symptoms and then 5-7% of them dying is very different from 5 to 7% who contract it die. One has an IFR of 0.3-0.5% and the second is a deadly nightmare.
 
We need to test here in NJ ASAP. If we had 5% infection rate that would be 450,000 infections which would be a CFR of under 1%. Worse than the flu for sure but not something to destroy the entire world economy over. If we had closer to 15% then our death rate would be almost no different than the flu. If that were true then than many heads need to roll.

I originally thought we might have 15% but after the CA studies maybe it is more like 5%.

Bad logic - if you take the NY data on deaths per infection and assume 15% infected, as per my other post, that's an IFR of 0.6% (18K deaths/3MM people) and with no interventions, presumably everywhere in the US would've hit those numbers.

Even if the IFR is 0.5%, that's 5X the flu IFR of 0.1%, which if we did nothing would likely have meant 250K US deaths (out of 49MM infected; the flu hits ~35MM on average) vs. the ~35K flu deaths we get in a year and this would have been over a 1-2 month period like we just had, just a lot worse, which would've completely overwhelmed any health care system and would be horrible just from the loss of life perspective. And if 75% could become infected, like the Ohio prison study is showing and we had an IFR of 0.5%, that's 1.25MM deaths in a year and even if the IFR is 0.1%, like the flu in that scenario, that's still 250K deaths. I think most people would rather take a hit to the economy and keep the deaths/impact far lower, like we have or even much lower, like South Korea, Taiwan and others did and we could've done, while we waited for a treatment.

Talk about heads rolling: what if we find out that convalescent plasma therapy can prevent 80-90% of deaths from CV2 (this is a hypothetical) and it could be ready for all fairly sick people in 4-6 weeks from now, such that we could've just followed the SK model for 2-3 months and only had a few thousand people die before the plasma therapy was available? And then we relaxed SD like they are now and the ramp up in infections (which would occur) would at least result in just sicknesses, not deaths, for the most part. That's a big part of doing interventions - saving a ton of lives if a cure comes along or just by social distancing/containment until a cure comes along (not just preventing overwhelming hospitals).
 
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I think u are misunderstanding....1800 tested postive out of 2500..only about 100 are showing symptoms...thats an incredible number of asymptomatics
Your first post wasn't clear. You're right that 100 of 1800 positive and symptomatic (and 1700 asymptomatic) out of 2504 total inmates (all tested) is an amazing number.

The 73% infected number is almost the 82% "herd immunity" number epidemiologists have been batting about recently given the R0 transmission rate research recently suggesting R0 is 5.7 and not 2-3 as originally thought. Sucks for the prisoners, but if this number is right (and I worry about it, as the articles I've seen on it suck, like the one below), it's an incredibly important finding that near herd immunity levels can be achieved in a closed, close environment - even the Diamond Princess only reached 19% infected by the virus-PCR test (and the Teddy Roosevelt only reached 13% positive).

I think it also makes it more likely that the whole world will reach that level eventually, unless we continue some level of interventions until we get a vaccine. Will be interesting to see how many die (none so far), but the article also said that 7 of 2400 positives in the system (0.3%) have died so far (but it didn't say everyone was tested), so it's too early to extrapolate that to anything (but a 0.3% infection fatality rate for 73% of the population would be horrendous, with 1MM dead of 330MM - need more data to say that, though).

https://www.npr.org/sections/corona...-an-ohio-prison-test-positive-for-coronavirus
 
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Swedish report from blood donations that 11% of people donating blood have antibodies to COVID-19 and are likely immune for at least awhile. They also stressed that the test they're using has low sensitivity, meaning there are likely false negatives (people who have antibodies, but the test doesn't show it), but that it has a "zero" false positive rate, meaning someone testing positive absolutely has it. According to them - I hope that's correct.

If true, that's another data point suggesting 10-20 or even 30% of people (higher % where the outbreaks were worse as some have proposed) could have been infected, most without symptoms, and now have immunity. The higher that number is the better, for the most part, as those folks should be able to go back to normal life without fear of getting or giving the virus - and the more who have had it, the less remaining who can get it, which will help slow transmission (but not stop it, especially if it's as transmissible as many experts now think).

https://www.svt.se/nyheter/inrikes/11-procent-av-stockholmarna-har-antikroppar-mot-covid-19

but are all these people with antibodies actually immune? What about reports of people in SK who recovered catching the virus again.
 
Your first post wasn't clear. You're right that 100 of 1800 positive and symptomatic (and 1700 asymptomatic) out of 2504 total inmates (all tested) is an amazing number.

The 73% infected number is almost the 82% "herd immunity" number epidemiologists have been batting about recently given the R0 transmission rate research recently suggesting R0 is 5.7 and not 2-3 as originally thought. Sucks for the prisoners, but if this number is right (and I worry about it, as the articles I've seen on it suck, like the one below), it's an incredibly important finding that near herd immunity levels can be achieved in a closed, close environment - even the Diamond Princess only reached 19% infected by the virus-PCR test (and the Teddy Roosevelt only reached 13% positive).

I think it also makes it more likely that the whole world will reach that level eventually, unless we continue some level of interventions until we get a vaccine. Will be interesting to see how many die (none so far), but the article also said that 7 of 2400 positives in the system (0.3%) have died so far (but it didn't say everyone was tested), so it's too early to extrapolate that to anything (but a 0.3% infection fatality rate for 73% of the population would be horrendous, with 1MM dead of 330MM - need more data to say that, though).

https://www.npr.org/sections/corona...-an-ohio-prison-test-positive-for-coronavirus

https://europepmc.org/article/pmc/pmc7148916

Abstract
As of March 12th Italy has the largest number of SARS-CoV-2 cases in Europe as well as outside China. The infections, first limited in Northern Italy, have eventually spread to all other regions. When controlling an emerging outbreak of an infectious disease it is essential to know the key epidemiological parameters, such as the basic reproduction number R0, i.e. the average number of secondary infections caused by one infected individual during his/her entire infectious period at the start of an outbreak. Previous work has been limited to the assessment of R0 analyzing data from the Wuhan region or Mainland China. In the present study the R0 value for SARS-CoV-2 was assessed analyzing data derived from the early phase of the outbreak in Italy. In particular, the spread of SARS-CoV-2 was analyzed in 9 cities (those with the largest number of infections) fitting the well-established SIR-model to available data in the interval between February 25–March 12, 2020. The findings of this study suggest that R0 values associated with the Italian outbreak may range from 2.43 to 3.10, confirming previous evidence in the literature reporting similar R0 values for SARS-CoV-2.
 
https://europepmc.org/article/pmc/pmc7148916

Abstract
As of March 12th Italy has the largest number of SARS-CoV-2 cases in Europe as well as outside China. The infections, first limited in Northern Italy, have eventually spread to all other regions. When controlling an emerging outbreak of an infectious disease it is essential to know the key epidemiological parameters, such as the basic reproduction number R0, i.e. the average number of secondary infections caused by one infected individual during his/her entire infectious period at the start of an outbreak. Previous work has been limited to the assessment of R0 analyzing data from the Wuhan region or Mainland China. In the present study the R0 value for SARS-CoV-2 was assessed analyzing data derived from the early phase of the outbreak in Italy. In particular, the spread of SARS-CoV-2 was analyzed in 9 cities (those with the largest number of infections) fitting the well-established SIR-model to available data in the interval between February 25–March 12, 2020. The findings of this study suggest that R0 values associated with the Italian outbreak may range from 2.43 to 3.10, confirming previous evidence in the literature reporting similar R0 values for SARS-CoV-2.

That was March. Many are now thinking R0 is over 5 (5.7 in this paper), as per below...

The CDC epidemiology study linked below, suggests the R0 for the virus is 5.7 and not 2.2 (each infected person would infect 5.7 others, assuming no interventions/social distancing), as many have thought. I've been quite skeptical of the virus being that transimssible (see the quoted post above). However, the combination of the CDC study, the info I had shared a few days ago, quoted above, suggesting tens of millions (at least 10-20%) could already be infected based on ILI (influenza like illness) rates being abnormally high in Feb thru mid-March (and also the Kisna data on fevers from the internet-connected temperature devices over 1MM have), and what I reported this morning from a NYC doc, suggesting that 30% of NYC could already be infected based on health care worker testing (antibody testing presumably) all do dovetail together. So maybe 20-30% actually infected is where we are now. This is why we need massive antibody testing now to confirm whether this is true.

https://wwwnc.cdc.gov/eid/article/26/7/20-0282_article

If, for argument's sake, 30% of the population has already been infected and is now immune, that's great and horrible at the same time. Presumably, at least, if 30% of the population has already been infected and is now immune, that would mean a fairly large swath of of the population would have immunity to the virus and would no longer be contagious and be able to go back to normal life with no restrictions. That's obviously great, although we need the antibody tests to confirm who those people are. Also, people at low risk of bad infection outcomes should likely be able to go back to work soon, although they'd still need to be careful around high risk folks, since they could still become infected carriers.

I would think some degree of social distancing would be maintained to keep infection levels low - that and 30% already infected should at least mean that any future "spikes" in cases should be significantly smaller, since 30% of the targets are no longer in play. I could imagine seeing a series of spikes over time which continuously diminish in size until we reach herd immunity (where people should no longer be getting infected), which the CDC estimated to be 82% of the population for an R0 of 5.7 (as opposed to 55% for an RO of 2.2.

The R0 values we estimated have important implications for predicting the effects of pharmaceutical and nonpharmaceutical interventions. For example, the threshold for combined vaccine efficacy and herd immunity needed for disease extinction is calculated as 1 – 1/R0. At R0 = 2.2, this threshold is only 55%. But at R0 = 5.7, this threshold rises to 82% (i.e., >82% of the population has to be immune, through either vaccination or prior infection, to achieve herd immunity to stop transmission).

Also, with an R0 of 5.7, this means that at-risk people need to take even stricter social distancing precautions to avoid getting the virus (like we've done for the past 4 weeks - simply no face to face interactions in that whole time). We're able to do that for months until a successful treatment/cure is available or until herd immunity is achieved, whichever comes first, but I understand that not everyone else is, which makes for a difficult public health choice on how far to go with "going back to normal."

There are also the conditions that many (including the gov's of NJ/NY/CT, who have said they'll take a regional approach together) have postulated we'd need to have in place before relaxing social distancing. These include instant viral testing/results so we quickly know when there's a flare-up, antibody testing to see who can safely go back to work/life, and putting much better contact tracing/quarantining systems in place, so we can better prevent spread, especially from asymptomatic/infected contacts.
 
but are all these people with antibodies actually immune? What about reports of people in SK who recovered catching the virus again.
The answer is we simply don't know. For every other virus, antibodies generally mean immunity at least for months (like the flu) or years (for most viruses including SARS/MERS), but nobody knows for sure - we do know that antibodies to the virus provide immunity for awhile in animals including macaques, which is a very good sign, as they're the animal of choice for infectious diseases relative to humans. The SK reports are iffy and may be related to crappy testing (false negatives).
 
As I noted earlier in this thread, a big difference is the early cases of Covid on the West coast came from Asia and the early cases in the NY area came from Europe. The early CDC testing protocols limited testing to those with travel (or contact with people who traveled) from Asia. So there was more early testing on the West coast, while infected people in the NY area couldn't get tested because they didn't meet CDC criteria.
So people in California don't travel Europe? And Europeans don't travel to California? Or Chicago? Or Miami?

I don't know about this.
 
That was March. Many are now thinking R0 is over 5 (5.7 in this paper), as per below...
Sorry bud but you have it backwards. The article I mentioned was just released and evaluated Italy in March. The article you mention says this in the Abstract:

We collected publicly available reports of 140 confirmed COVID-19 cases (mostly outside Hubei Province). These reports were published by the Chinese Centers for Disease Control and Prevention (China CDC) and provincial health commissions; accession dates were January 15–30, 2020
 
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Sorry bud but you have it backwards. The article I mentioned was just released and evaluated Italy in March. The article you mention says this in the Abstract:

We collected publicly available reports of 140 confirmed COVID-19 cases (mostly outside Hubei Province). These reports were published by the Chinese Centers for Disease Control and Prevention (China CDC) and provincial health commissions; accession dates were January 15–30, 2020

Whatever, point remains that many are now thinking the R0 is 5.7. If the Ohio prison numbers are correct (and I don't trust them yet), then it's likely in the 5.7 range.
 
Whatever, point remains that many are now thinking the R0 is 5.7. If the Ohio prison numbers are correct (and I don't trust them yet), then it's likely in the 5.7 range.
Many as in the same imbeciles who told us this was nothing to worry about and then fooked up the tests which eventually cost many Americans their lives.

The R0 is more likely between 2.5 to 3.0 so herd immunity would be 60 to 65%.
 
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