@ChiTownLion -- you're not paying attention to the thread. These studies came out last week, we've already posted about them and discussed them. Some doctors are making more of them than seems warranted.
Red China!
Follow along with the video below to see how to install our site as a web app on your home screen.
Note: This feature may not be available in some browsers.
@ChiTownLion -- you're not paying attention to the thread. These studies came out last week, we've already posted about them and discussed them. Some doctors are making more of them than seems warranted.
The results are in from 8 hospitals in NYC (Mt. Sinai):
From The Lancet.
I just hope he posts something from the Hydroxychloroquine News Twitter. Looks legit to me.So here we have Todaro once again pointing to another retrospective study:
And Zelenko (looks like a duck, walks like a duck....) pointing to a retrospective study that Todaro did last week, the objective of which had nothing to do with HQCL:
If I already posted this, please delete. I couldn’t find it In the thread but may have missed it. Statins may protect against COVID-19’s most damaging effects - namely inflammation:
https://www.the-scientist.com/news-opinion/could-statins-reduce-the-severity-of-covid-19--67629
Those that think herd immunity is the savior for Covid-19 should read this study.
and this for more info
https://www.thelancet.com/journals/...6736(20)31482-3/fulltext#.XwL_JcazvIY.twitter
my personal opinion is that the level of cross immunity or people that just don't get Corona (and don't form any Covid 19 antibodies specifically to be found) might be at much higher levels than people think.
The Lancet is a journal. It doesn't conduct tests or studies.
this stuff is not all that difficult, but some of you seem to misunderstand the process.
The Lancet did not fake any test results. They published an observational study that was submitted by a team of so-called researchers. Pretty quickly, scientists that read the report started pointing out problems with the study. Taking an exception to a published report is not unusual -- it's how science works. The difference here was that the issues being pointed out were not trivial aspects of the report. In time, The Lancet acknowledged that they had doubts about the legitimacy of the study's data, and that their pre-publication review of it was also faulty.
In the bigger picture, pretty much every scientific publication has posted that they are being absolutely swamped with submissions related to Covid-19. They are in the difficult situation of wanting to get out information relevant to this pandemic, and having to conduct way more reviews than is their norm.
Pre-publication/pre-review web sites have existed in science for many years. It's a way of getting studies out quickly, with the caveat emptor that none of these studies have been peer reviewed. The number of Covid-19 studies on pre-publication web sites has also exploded in the past few months. I only link a small sub-set of reports that appear on such sites -- those that look to have good value in understanding the virus, and in medically addressing it.
Didn't 5hey report bogu
Lancet has no credibility. They made up fake data. They were caught in a lie when they listed more deaths in Australia than the entire country had listed. Australian officials asked them for their source and the Lancet refused. Eventually Lancet had to retract their bogus story. They were more interested in politics than science.
It's the same fvcking article. The Lancet didn't "make up" data. They didn't withhold the source. The source, Surgisphere, was disclosed in the erroneous article.
There was a publication from a few years back that concluded that infections associated with the human beta coronavirus OC 43, which is relatively common and causes cold symptoms, results in antibody reactions with the original SARS antigens 77% of the time. The question is whether these antibodies might offer some protection from SARS CoV - 2 in some instances.my personal opinion is that the level of cross immunity or people that just don't get Corona (and don't form any Covid 19 antibodies specifically to be found) might be at much higher levels than people think. Seeing a lot of spouses and kids of adults that had covid and are in the same house and yet don't test positive for antibodies. If that number is in the 25-40% range, than add in the antibody numbers in spain and you do get close to herd immunity in the harder hit spots.
Lancet might not have written the article but they absolutely completed no diligence in reviewing the article for legitimacy which is 100% their job. Lancet is NOT supposed to be twitter in that you can post everything and anything, it is supposed to be a respected medical journal that only prints articles that are of the highest quality. They completely bypassed their own systems to put this in the their journal as somebody either paid them off or they wanted the HCQ is a failure politics out there. Either way, their credibility as a medical journal should be dirt either way. THe fact they did not write the article means nothing, their job is to do the research and due diligence to ensure the articles they publish have medical credibility and are of the utmost scientific thought, they completely failed in that regard and to date, we have had ZERO reason how and why that happened.
Why don't you give us a description of The Lancet's "systems" that were bypassed?
If the government kicks in $1.6b do they get a % of the profits?
Those that think herd immunity is the savior for Covid-19 should read this study.
and this for more info
https://www.thelancet.com/journals/...6736(20)31482-3/fulltext#.XwL_JcazvIY.twitter
i assume since you post here you have the internet. simple due diligence search in google should provide you plenty of reading. maybe you should start with what a medical journal is supposed to do as that is pretty easy to find also. so either you don't understand how to use the internet or you have an agenda.
What about that study is a negative to the scientific concept of herd immunity, or it's application to this coronavirus?
Herd immunity is not an appealing strategy for an infectious disease unless that immunity is achieved through vaccination.
Natural herd immunity without vaccination means that 70 - 90% of the susceptible people have to get the infection before the spread is controlled. That’s not really much of a preventative since people actually had to get sick. So relying on natural herd immunity or hoping we get there sooner is a pretty defeatist idea.
Please point out which one of these people committed fraud as these are the authors of the report published in The International Journal of Infectious Diseases ...
You keep looking for the shortcut which doesn’t exist.That premise simply isn't true though. It's not as simple as a single percentage, and none of the percentages are that high.
That premise simply isn't true though. It's not as simple as a single percentage, and none of the percentages are that high.
You keep looking for the shortcut which doesn’t exist.
They published a fraudulent load of cr*p that they should have known was a load of cr*p. Surgisphere was a nothing company that didn't have the resources to collect the data that they claimed to have collected. People on line with no connection to Surgisphere noted substantial problems within a couple of days. Why couldn't the Lancet have done that.It's the same fvcking article. The Lancet didn't "make up" data. They didn't withhold the source. The source, Surgisphere, was disclosed in the erroneous article.
I’d be interested to know what you think the percentages are then?
I gave a broad range as an estimate not a single percentage. And many minimum herd immunity levels for known contagious diseases are that high and higher. Measles and pertussis are around 90 - 95%. Polio, diphtheria, smallpox, and rubella range from 80 - 86%. Estimates for Covid-19 are around 60 - 80%. Ebola and influenza are lower at 30 - 60%.
If you don’t believe me, here is a paper to read on the subject of herd immunity for COVID-19 including an estimated herd immunity level (67%) and discussion of the potential impact of this without a vaccine. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236739/
Wow. That was a fantastic article, as it touched on a lot of the things - reasons why applying the concept of herd immunity is much more complex than just some single percentage value - I would love to put together in a post, but don't have that time.
Thank you for posting this.
In a nutshell though, the R0 value, as the article states, assumes a completely naive population.
The latest "best estimate" from the CDC for the R0 value of this coronavirus is 2.5.
That puts the herd immunity threshold at 60%.
But remember, that assumes a completely naive population (ie taking no precautions).
We could be more precise than this (remember, this is in a nutshell), but we would have three separate populations for the sake of determining our path to herd immunity:
1) Our high-risk group. This group is under partial quarantine, and very strictly utilizing precautions to not contract and/or spread the virus when not quarantined. The Re (effective R0) value in this group is close to 0.
2) Those taking reasonable to steps to not contract and/or spread the disease. This is our "masks and social distancing" population. I don't know what this group's Re value would be, but it would have to be under 1.0 - and likely we'll under 1.0.
3) Then there are the rest of the people. This group isn't really taking precautions, but they're also not completely naive to the virus either. Further, as a society, we have taken steps to lessen their opportunities to spread the virus (ie eliminated big group events, cut social opportunities, and in some cases we force them to temporarily join group #2 [ie requiring them to wear masks in grocery stores]). I don't know what this group's Re value is, but we know it has to be less than the R0 value.
When you calculate the weighted (by population size) average of the herd immunity thresholds of these groups, you come to a value that is considerably less than 60% (if you go with the CDCs current best estimate for the R0) of the overall population - And a very small percentage of the high-risk population that has a fatality rate higher than .0003.
This is waaay less than your 70-90% number. You have to assume older worst case scenario estimations for R0, with a completely naive population, to get anywhere near your 70-90% numbers.