Stanford U Study: covid19 Prevalence 50-85x known cases

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FrioAg 00
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AG
Honestly, if you came up with ANY population of non-symptomatic people, even if you were TRYING to give it bias selection,...

To get numbers that high, suggesting wide spread case counts without symptoms is a GREAT sign.

Of course we should flog the people who led the overreaction, but not until after our HUGE block parties.
dermdoc
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AG
Complete Idiot said:

Beat the Hell said:

Been telling y'all this since the beginning
Your lick thumb, hold up in air opinion doesn't quite hold the weight of a scientific study.


Wrong.
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dermdoc
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AG
Proposition Joe said:

dermdoc said:

Complete Idiot said:

Everybody has said mortality rate would be less than case fatality rate, and everyone has known that the number of people that have had the disease is greater, probably far greater, than those that actually took a test and were positive. EVERYONE knew that. No one could pinpoint to what degree without a study. To say you knew what it would be based on a gut feel is hilarious to me. Guessed and were right? OK. And it's still not settled, this is one study, but OK.


Fair enough. We shall see.

And it was not a "gut" feeling. I have been doing this for over 40 years. The numbers from California and Washington never made sense. And sure, I could be wrong and stated that from the get go. But I just mentioned a possibility that seems to be more and more likely and got blasted on here.

You were also steadfast in a lot of your opinions 30 days ago that now look laughably incorrect.

So I wouldn't be so quick to pat yourself on the back.


Like what? I predicted 50-100k US deaths. I said that hospitals would not be overrun and we would not run out of vents. Predicted a US mortality rate of 0.3-0.6%. I was maybe wrong on US mortality rate being lower than South Korea, but these new numbers may change that. And you can pull up my posts and please tell me if I am not remembering correctly. Never seen any folks so upset by good news:

Just "stuck my finger in the air".
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Beat40
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The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I HATE this argument. Yes, there are things we could have done completely differently. Yes, I do not think we attacked this in the best manner possible. I believe we should have focused our efforts on the higher risks rather than take a one size fits all approach.

But seriously, when your country is roughly 2 weeks behind Europe, and you can visibly see Italy looking like a hospital in a damn war where they are triaging who's treated and who's not, what the hell do you expect us to do? That's a damn scary proposition to face coming in hot to your country.

Use some logic and realism when you're playing armchair QB.
Complete Idiot
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The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I don't know if it's that simple. You can't learn more at a later date and then state that decisions made early, with different or incomplete data, were so bad someone should be fired. Remember - nearly ALL countries went into shutdown. Maybe you are referring to worldwide governments but I sense you are referring to the local, state, and national governments in America. They didn't not behave uniquely in this. I get the stress and anger this situation may have caused many but it's a pandemic, looked way worse as far as how it spread that others in recent history, and people had incomplete data at hand to make incredibly difficult decisions.
Aggie1946
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It would be good if the death rate is much lower than expected, but I think people also miss the point that a study like this just means the virus is much more contagious and will spread insanely quickly. So even if the % of the dead is lower it will end up infecting even more people total.
ETFan
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Beat the Hell said:

We can look to NY? Because that is like the rest of the country? It's not unique. At. All.
Let me be clear that I think this is great news, I hope the infection rate is through the roof. I need to get back to normal work, our schedules are screwed and my wife is out of work. To show you where my posts are coming from. However, doesn't the study say it's still only 2-4%?...

My point was, the flu exists in NY every year, it doesn't do to NY what COVID19 is doing to NY. COVID19 is not "like the flu", clearly. COVID19 is putting up crazy numbers in NY and they've been shutdown (to the best of their ability). Flu simply doesn't do that.

DTP02
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AG
Two additional bits of information that are encouraging in terms of supporting the idea of some validity in the results:

- participants in the study were given a $10 Amazon card for participating, so there was some incentive unrelated to concerns about having been infected.

- Santa Clara COVID19 testing is showing less than 11% positive. Extrapolate that to the county population and you get 195,000 infected. Surely the group of those who participated in the antibody study can't be that much more likely to be infected than those who have actually been tested for COVID19. I would guess that the population of those tested for active infection are more likely to be infected than those who participated in the antibody study. Seems logical, right? That would support the results of the antibody study as being closer to an accurate representation than not
Beat40
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Aggie1946 said:

It would be good if the death rate is much lower than expected, but I think people also miss the point that a study like this just means the virus is much more contagious and will spread insanely quickly. So even if the % of the dead is lower it will end up infecting even more people total.
The entire point is the death rate being lowered. If the death rate is significantly lowered and this thing settles in just above flu numbers, in my opinion, that's really good news for a novel virus. Maybe it makes us worry less about the number of people getting infected at all.

If the death rate is significantly lowered, it might completely change our response. Maybe instead of these slow rolling openings it means we can open it up quicker and let the hospitals prepare for flu and COVID cases on top of each other for the future.

That's why the anti-body testing is vitally important in my eyes. Having a clearer picture of who has antibodies is an important factor along with therapeutic treatments and vaccine progress that will help drive the restart conversation appropriately.
dermdoc
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AG
ETFan said:

Beat the Hell said:

We can look to NY? Because that is like the rest of the country? It's not unique. At. All.
Let me be clear that I think this is great news, I hope the infection rate is through the roof. I need to get back to normal work, our schedules are screwed and my wife is out of work. To show you where my posts are coming from. However, doesn't the study say it's still only 2-4%?...

My point was, the flu exists in NY every year, it doesn't do to NY what COVID19 is doing to NY. COVID19 is not "like the flu", clearly. COVID19 is putting up crazy numbers in NY and they've been shutdown (to the best of their ability). Flu simply doesn't do that.


Agree. It is because it is a novel virus. And it is worse than the flu which we all have some immunity to generally. My only point through this whole thing was that there was a strong possibility that this virus had been in the US before January because if the way the disease progressed in California and Washington. And even said I could be wrong.
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NASAg03
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Beat40 said:

The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I HATE this argument. Yes, there are things we could have done completely differently. Yes, I do not think we attacked this in the best manner possible. I believe we should have focused our efforts on the higher risks rather than take a one size fits all approach.

But seriously, when your country is roughly 2 weeks behind Europe, and you can visibly see Italy looking like a hospital in a damn war where they are triaging who's treated and who's not, what the hell do you expect us to do? That's a damn scary proposition to face coming in hot to your country.

Use some logic and realism when you're playing armchair QB.
Logic and realism indicate that we went way overboard vs Italy:
  • Has a higher average age of population
  • Higher instances of smoking among that aged population
  • Higher instances of additional risk factors in their aged population
  • 5.6x higher population density

Mike Shaw - Class of '03
Beat40
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ETFan said:

Beat the Hell said:

We can look to NY? Because that is like the rest of the country? It's not unique. At. All.
Let me be clear that I think this is great news, I hope the infection rate is through the roof. I need to get back to normal work, our schedules are screwed and my wife is out of work. To show you where my posts are coming from. However, doesn't the study say it's still only 2-4%?...

My point was, the flu exists in NY every year, it doesn't do to NY what COVID19 is doing to NY. COVID19 is not "like the flu", clearly. COVID19 is putting up crazy numbers in NY and they've been shutdown (to the best of their ability). Flu simply doesn't do that.


The 1918 flu that is still around has also had 100 years to mutate to a less harmful strain. I think comparisons to the flu are just a bad deal all the way around no matter what side you're on.

Novel is novel. Most novel sickness is going to be way worse on the human body than existing sickness. It's just infection rates that determine the population numbers.
SirLurksALot
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Beat40 said:

The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I HATE this argument. Yes, there are things we could have done completely differently. Yes, I do not think we attacked this in the best manner possible. I believe we should have focused our efforts on the higher risks rather than take a one size fits all approach.

But seriously, when your country is roughly 2 weeks behind Europe, and you can visibly see Italy looking like a hospital in a damn war where they are triaging who's treated and who's not, what the hell do you expect us to do? That's a damn scary proposition to face coming in hot to your country.

Use some logic and realism when you're playing armchair QB.


Maybe so, but we are a results oriented society. If the fatality rate is really similar to the flu then the predominant opinion amoung the public will likely be that we vastly overreacted and caused a significant economic hardship for no reason. The public will look for people to blame and they will focus on the most outspoken experts and the politicians that listened to them. Doesn't mean it's fair, it's just the world we live in.
dermdoc
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AG
Aggie1946 said:

It would be good if the death rate is much lower than expected, but I think people also miss the point that a study like this just means the virus is much more contagious and will spread insanely quickly. So even if the % of the dead is lower it will end up infecting even more people total.
We want more people infected who are asymptomatic or have mild symptoms. That is how we get immunity. The problem is that because of the hype it has been equated if you test positive you are going to be real sick or die. And that is not true. Respiratory viruses do not act this way. There had to have been a higher infection rate.

I also posted Italy was an outlier and was shouted down. It seemed pretty obvious from the start comparing Washington state and Italy(and to a lesser extent Spain) that those two places were outliers. The key was focusing on Washington and nobody did.

I wonder if there is a genetic predisposition in the Mediterranean population.
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marloag
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If you purely look at the numbers it really is tho
Beat40
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NASAg03 said:

Beat40 said:

The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I HATE this argument. Yes, there are things we could have done completely differently. Yes, I do not think we attacked this in the best manner possible. I believe we should have focused our efforts on the higher risks rather than take a one size fits all approach.

But seriously, when your country is roughly 2 weeks behind Europe, and you can visibly see Italy looking like a hospital in a damn war where they are triaging who's treated and who's not, what the hell do you expect us to do? That's a damn scary proposition to face coming in hot to your country.

Use some logic and realism when you're playing armchair QB.
Logic and realism indicate that we went way overboard vs Italy:
  • Has a higher average age of population
  • Higher instances of smoking among that aged population
  • Higher instances of additional risk factors in their aged population
  • 5.6x higher population density


I don't disagree with this. I already said I think we could have, and should have handled things differently. I used Italy, but it's not just them. It was China forcibly locking down millions of people. SK testing millions of people that we knew we didn't have the testing capacity to follow their lead.

I personally don't think it's far to look at what was going on in the world at the time paired with the fact this is a novel virus of which we knew very little about at the time and say someone absolutely should be fired for an action.
The_Fox
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Complete Idiot said:

The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I don't know if it's that simple. You can't learn more at a later date and then state that decisions made early, with different or incomplete data, were so bad someone should be fired. Remember - nearly ALL countries went into shutdown. Maybe you are referring to worldwide governments but I sense you are referring to the local, state, and national governments in America. They didn't not behave uniquely in this. I get the stress and anger this situation may have caused many but it's a pandemic, looked way worse as far as how it spread that others in recent history, and people had incomplete data at hand to make incredibly difficult decisions.

I have said since day 1 that the shutdown was a mistake and that the fatality rate would be under 0.5% after widespread testing.
PJYoung
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AG
DTP02 said:

Two additional bits of information that are encouraging in terms of supporting the idea of some validity in the results:

- participants in the study were given a $10 Amazon card for participating, so there was some incentive unrelated to concerns about having been infected.

- Santa Clara COVID19 testing is showing less than 11% positive. Extrapolate that to the county population and you get 195,000 infected. Surely the group of those who participated in the antibody study can't be that much more likely to be infected than those who have actually been tested for COVID19. I would guess that the population of those tested for active infection are more likely to be infected than those who participated in the antibody study. Seems logical, right? That would support the results of the antibody study as being closer to an accurate representation than not

That is encouraging.
Beat40
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SirLurksALot said:

Beat40 said:

The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I HATE this argument. Yes, there are things we could have done completely differently. Yes, I do not think we attacked this in the best manner possible. I believe we should have focused our efforts on the higher risks rather than take a one size fits all approach.

But seriously, when your country is roughly 2 weeks behind Europe, and you can visibly see Italy looking like a hospital in a damn war where they are triaging who's treated and who's not, what the hell do you expect us to do? That's a damn scary proposition to face coming in hot to your country.

Use some logic and realism when you're playing armchair QB.


Maybe so, but we are a results oriented society. If the fatality rate is really similar to the flu then the predominant opinion amoung the public will likely be that we vastly overreacted and caused a significant economic hardship for no reason. The public will look for people to blame and they will focus on the most outspoken experts and the politicians that listened to them. Doesn't mean it's fair, it's just the world we live in.
Don't necessarily disagree with anything you've said. It's just frustrating we can't carry past and current perspective in our heads and put ourselves in people's shoes before we fire out hot takes.
dermdoc
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AG
PJYoung said:

DTP02 said:

Two additional bits of information that are encouraging in terms of supporting the idea of some validity in the results:

- participants in the study were given a $10 Amazon card for participating, so there was some incentive unrelated to concerns about having been infected.

- Santa Clara COVID19 testing is showing less than 11% positive. Extrapolate that to the county population and you get 195,000 infected. Surely the group of those who participated in the antibody study can't be that much more likely to be infected than those who have actually been tested for COVID19. I would guess that the population of those tested for active infection are more likely to be infected than those who participated in the antibody study. Seems logical, right? That would support the results of the antibody study as being closer to an accurate representation than not

That is encouraging.
Good post. You and I have had disagreements but without the vitriol and name calling. Mutual respect for different, well thought out opinions. And I appreciate it.

Glad you are on here.
No material on this site is intended to be a substitute for professional medical advice, diagnosis or treatment. See full Medical Disclaimer.
BBQ4Me
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AG
The 50x estimation they found for Santa Clara County may vary wildly in other parts of the country. Factors that can affect it include: testing rates in areas; physical distancing practices in areas. Very interesting study, but given the disparity in how things are being handled, we can't extrapolate results to the country with high certainty
Beat40
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The_Fox said:

Complete Idiot said:

The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I don't know if it's that simple. You can't learn more at a later date and then state that decisions made early, with different or incomplete data, were so bad someone should be fired. Remember - nearly ALL countries went into shutdown. Maybe you are referring to worldwide governments but I sense you are referring to the local, state, and national governments in America. They didn't not behave uniquely in this. I get the stress and anger this situation may have caused many but it's a pandemic, looked way worse as far as how it spread that others in recent history, and people had incomplete data at hand to make incredibly difficult decisions.

I have said since day 1 that the shutdown was a mistake and that the fatality rate would be under 0.5% after widespread testing. Only a fool, a weakling, or someone with an agenda would believed otherwise.

A mistake measured in the 10s of trillions should have dire consequences.
Actually, I'm editing my post because this should be talked about on the politics board. I don't want to take away from the discussion of the study.
agforlife97
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AG
SirLurksALot said:





Maybe so, but we are a results oriented society. If the fatality rate is really similar to the flu then the predominant opinion amoung the public will likely be that we vastly overreacted and caused a significant economic hardship for no reason. The public will look for people to blame and they will focus on the most outspoken experts and the politicians that listened to them. Doesn't mean it's fair, it's just the world we live in.
There's going to be a backlash no matter what, because it's going to be clear real soon just how bad the economic damage we've inflicted on ourselves is. That's why Trump is frantically trying to make it clear that it wasn't his fault (that's not to say that others don't have a ton of fault), and why Pelosi is already making political attacks on Trump. The reality is that all incumbents may suffer.

The backlash will be worse if (as it looks like) the death rate is close to seasonal flu, and the death rate among healthy people under 60 is virtually nil. It's certainly very clear at this point that, despite fearmongering media, the virus doesn't affect people under 20 really at all.
NASAg03
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BBQ4Me said:

The 50x estimation they found for Santa Clara County may vary wildly in other parts of the country. Factors that can affect it include: testing rates in areas; physical distancing practices in areas. Very interesting study, but given the disparity in how things are being handled, we can't extrapolate results to the country with high certainty
You can easily extrapolate by comparing population density, testing %, international travel, compliance to social distancing / stay-at-home, etc.

And 50x is on the low end. The range is up to 85x for that particular study. Meaning true population infected could be greater than 85x for other areas.

But if you want to chose to look on the negative side and lockdown thru 2020, that's you're choice.
Mike Shaw - Class of '03
agforlife97
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AG
BBQ4Me said:

The 50x estimation they found for Santa Clara County may vary wildly in other parts of the country. Factors that can affect it include: testing rates in areas; physical distancing practices in areas. Very interesting study, but given the disparity in how things are being handled, we can't extrapolate results to the country with high certainty
I don't think testing rate would affect the background infection rate at all. What we've been needing to do is take random tests of thousands of people daily in various places in order to calculate the background rate. It's basically criminal that this isn't happening. Meanwhile we do political polls like this in the hundreds on a daily basis.
The_Fox
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Beat40 said:

The_Fox said:

Complete Idiot said:

The_Fox said:

Complete Idiot said:

Yes, please read the PDF which can be downloaded from the link provided.

The study seems fairly sound and it is great news to read the actual cases could be 50-85 times higher than the amount you actually tested positive (in that county). Documents the limitations and states assumptions.

The study does note that it still represents a very small portion of the population (see below), but definitely the CFR would change as a result of this find (study suggests 0.12-0.2%). All great news and I hope new and larger studies continue to confirm.

We conclude that based on seroprevalence sampling of a large regional population, the prevalence of SARS-CoV-2 antibodies in Santa Clara County was between 2.49% and 4.16% by early April. While this prevalence may be far smaller than the theoretical final size of the epidemic,27 it suggests that the number of infections is 50-85-fold larger than the number of cases currently detected in Santa Clara County. These new data should allow for better modeling of this pandemic and its progression under various scenarios of non-pharmaceutical interventions. While our study was limited to Santa Clara County, it demonstrates the feasibility of seroprevalence surveys of population samples now, and in the future, to inform our understanding of this pandemic's progression, project estimates of community vulnerability, and monitor infection fatality rates in different populations over time. It is also an important tool for reducing uncertainty about the state of the epidemic, which may have important public benefits.
If that 0.12-0.2% is correct. The people pulling for this shut down in the government need their asses beat and to be out of a job.
I don't know if it's that simple. You can't learn more at a later date and then state that decisions made early, with different or incomplete data, were so bad someone should be fired. Remember - nearly ALL countries went into shutdown. Maybe you are referring to worldwide governments but I sense you are referring to the local, state, and national governments in America. They didn't not behave uniquely in this. I get the stress and anger this situation may have caused many but it's a pandemic, looked way worse as far as how it spread that others in recent history, and people had incomplete data at hand to make incredibly difficult decisions.

I have said since day 1 that the shutdown was a mistake and that the fatality rate would be under 0.5% after widespread testing. Only a fool, a weakling, or someone with an agenda would believed otherwise.

A mistake measured in the 10s of trillions should have dire consequences.
What on day 1 made you say the shutdown was a mistake? What evidence did you have at that time? If it's anything other than a gut feeling, I would love to see it.

Your statement is reading very much like it was founded on fact.
I looked at the numbers from Italy and China and saw it was overwhelmingly killing those 60+ and saw the fatality rate and the estimated asymptomatic rate and assumed worst case would be around a million US deaths heavily concentrated in 60+, but probably 200K.

Then I read that a prolonged shelter in place exceeding a month would result in 10s of millions of job losses and thought the cost/benefit militated in favor of not shutting down the economy. And that was assuming worst case, which was not likely to happen.

I will never be convinced the average US life is worth $1million+ and if you operate from that world view, how could anyone ever justify this idiotic overreaction.

And however unfounded in fact you think my estimation was, there will be a final tally and someone will be proven correct. I am very interested in comparing the educated guesses of the experts to the final outcome.
BBQ4Me
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AG
NASAg03 said:

BBQ4Me said:

The 50x estimation they found for Santa Clara County may vary wildly in other parts of the country. Factors that can affect it include: testing rates in areas; physical distancing practices in areas. Very interesting study, but given the disparity in how things are being handled, we can't extrapolate results to the country with high certainty
You can easily extrapolate by comparing population density, testing %, international travel, compliance to social distancing / stay-at-home, etc.

And 50x is on the low end. The range is up to 85x for that particular study. Meaning true population infected could be greater than 85x for other areas.

But if you want to chose to look on the negative side and lockdown thru 2020, that's you're choice.


You realize that you just confirmed what I posted?? What I'm saying that before people run with the 50-85x estimates, they need to factor in other variables that play a role (eg, if County X has tested a much greater % of their population than Santa Clara County).

And not sure how you thought I was being negative and look for a lockdown through 2020...talk about reading into things. I was pointing out the issues of people potentially misinterpreting the results
dermdoc
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AG
Disagree and think the shutdown was necessary until we got more knowledge. And you can not put a dollar value on human lives. But it became pretty clear to me that the way Cali and Washington were affected vs Italy and Spain that something was funny. And the only thing that made sense, at least to me, was earlier entrance of the virus than we thought into the US.

Social distancing will help but does not explain the numbers. And this is a respiratory virus not a contact virus like Ebola. Distancing will help slow it down but is impossible to completely stop the spread. And every respiratory spread virus appears this way with the severely ill seemingly over proportionate. But with a respiratory virus and the way it spreads, you had to have to have a large asympotomatic or mildly symptomatic group of folks. Respiratory viruses ALWAYS work that way. And that was all I was saying.
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NASAg03
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agforlife97 said:

BBQ4Me said:

The 50x estimation they found for Santa Clara County may vary wildly in other parts of the country. Factors that can affect it include: testing rates in areas; physical distancing practices in areas. Very interesting study, but given the disparity in how things are being handled, we can't extrapolate results to the country with high certainty
I don't think testing rate would affect the background infection rate at all. What we've been needing to do is take random tests of thousands of people daily in various places in order to calculate the background rate. It's basically criminal that this isn't happening. Meanwhile we do political polls like this in the hundreds on a daily basis.
You're right, testing rate wont affect background rate, but it will affect how you extrapolate from the Santa Clara study to another totally different population group to get an estimate for the number of true (vs. confirmed) cases.
Mike Shaw - Class of '03
oragator
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NY will pass .1 percent of their total population dead in the next week or so probably (they are currently at 858 in a million), and that's with social distancing - that .1% number would assume every single person in the state was infected. As an example, the annual estimates on the flu are around 40 million infected out of a population of 330 million, that's with no social distancing measures but a somewhat less transmittable illness, so might be fairly comparable.
It''s at least several multiples of .1%, exactly how many is the question to ask. Because .5% is a very different outcome that 2% on a number of levels.
Sq 17
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bump new thread started dont need 2 threads
jagvocate
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AG
Sq 17 said:

bump new thread started dont need 2 threads



TXAggie2011
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AG
Quote:

And you can not put a dollar value on human lives. But it became pretty clear to me that the way Cali and Washington were affected vs Italy and Spain that something was funny. And the only thing that made sense, at least to me, was earlier entrance of the virus than we thought into the US.
The research test in Washington found, through dual methods, it came here pretty much when we thought it came here.
dermdoc
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AG
TXAggie2011 said:

Quote:

And you can not put a dollar value on human lives. But it became pretty clear to me that the way Cali and Washington were affected vs Italy and Spain that something was funny. And the only thing that made sense, at least to me, was earlier entrance of the virus than we thought into the US.
The research test in Washington found, through dual methods, it came here pretty much when we thought it came here.
You talking about the genetic testing? And the problem is nobody tested California at that time to my knowledge. Maybe you know more than me. But looking at how this thing spread or didn't, there seems to be some stuff that can not be explained by models that do not take into account possible earlier introduction of the virus.

And I am very interested into why when the virus got here is such a big deal?
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TXAggie2011
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AG
Quote:

NY will pass .1 percent of their total population dead in the next week or so probably (they are currently at 858 in a million), and that's with social distancing - that .1% number would assume every single person in the state was infected
New York City has already eclipsed 0.1 percent of their population dead. Nassau County is right at 0.1 percent. Dougherty County, Georgia is at 0.099 percent.

New Orleans (Orleans Parish) is at 0.081 percent.



If New York state has caught 1 of 50 cases, then over 58% of their population has already been infected.

If New York state has caught 1 in 85 cases, then about 99-100% of their state has already been infected.
 
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