Earlier quoted context omitted.
Most signs so far suggest that the virus is basically uncontainable, short of everyone on the planet taking aggressive measures to stop it escaping China back in January or December.
That was back when China was claiming it didn’t transmit between humans, and ordering labs to destroy their samples. https://www.nationalreview.com/the-morning-jolt/chinas-devas...
Covid-19 Antibody Seroprevalence in Santa Clara County, California
21–30 of 209 posts
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#22Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#23I think the numbers will coma out to show this ripped through the USA in February; we slammed the barn doors closed well after the horse was gone. Of course that's not the narrative that fits agendas so just like with "why cant we test people?" back then, there will be many official reasons not to look for antibody data and to doubt what data gets gathered.
My optimistic side wants the truth to be that there are many strains, and the worst one spread in the last few months. This would mean that there are other strains that provide adequate anti-bodies and yet are mild enough to go unnoticed by professionals.
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#24I think the numbers will coma out to show this ripped through the USA in February; we slammed the barn doors closed well after the horse was gone. Of course that's not the narrative that fits agendas so just like with "why cant we test people?" back then, there will be many official reasons not to look for antibody data and to doubt what data gets gathered.
Based on the difference between CA and NY, I'd be willing to bet that it got here earlier, maybe in December.
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#25I think the numbers will coma out to show this ripped through the USA in February; we slammed the barn doors closed well after the horse was gone. Of course that's not the narrative that fits agendas so just like with "why cant we test people?" back then, there will be many official reasons not to look for antibody data and to doubt what data gets gathered.
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#26"We recruited participants by placing targeted advertisements on Facebook aimed at residents of Santa Clara County..." I wonder if these ads mentioned the purpose of the study, or if that information was only given out after initial contact (I don't know enough about IRB requirements here). A concern is that this could cause a selection bias for people who suspected they had the virus. People may respond to such an a…
"We used Facebook to quickly reach a large number of county residents and because it allows for granular targeting by zip code and sociodemographic characteristics. We used a combination of two targeting strategies: ads aimed at a representative population of the county by zip code, and specially targeted ads to balance our sample for under-represented zip codes. In addition, we capped registrations from overrepresented areas."
Update: Okay, "Other biases, such as bias favoring individuals in good health capable of attending our testing sites, or bias favoring those with prior COVID-like illnesses seeking antibody confirmation are also possible."
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#27I think the numbers will coma out to show this ripped through the USA in February; we slammed the barn doors closed well after the horse was gone. Of course that's not the narrative that fits agendas so just like with "why cant we test people?" back then, there will be many official reasons not to look for antibody data and to doubt what data gets gathered.
I keep hearing this sentiment, but I cannot square it with the fact that a non-trivial percent of infected people need to be on ventilators for roughly 20 days. If, back in December, 10k people had what we now know as Covid, there would have been dozens of people on ventilators for weeks at a time in January. The average flu patient needing intubation is only on a ventilator for about 5 days. I just don't see a situa…
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#28The problem with every one of these studies I've seen is that they come up with around 3% of the population having antibodies, while a typical false-positive rate for these tests is also around 3%. In this case they claim they adjust for the specificity (basically false-positive rate), but I didn't see that they reported what the specificity was. If the mortality really is very low, then it should be easy to prove. J…
This is certainly not a study. And certainly shouldn't be taken as good data of any kind, but it is interesting: https://www.livescience.com/coronavirus-in-pregnant-woman-hi... Sure as hell isn't random (all pregnant women... so all women for one. All at the same hospital is another). "Between March 22 and April 4, those hospitals screened 215 pregnant women for SARS-CoV-2 (the virus that causes COVID-19), and 33 wom…
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#29Add this to growing pile of evidence that this coronavirus is more widespread than most testing to date would suggest. How much more widespread still appears very unclear. There is a major ramping up of antibody testing happening right now, and multiple new tests being introduced, so we should have a better idea very soon. But the takeaway should be that this is a good thing. Every unknown case we uncover decreases t…
And additionally, there are reports of reinfections among covid19 patients who were found to be cured.
Re: Covid-19 Antibody Seroprevalence in Santa Clara County, California
#30"We recruited participants by placing targeted advertisements on Facebook aimed at residents of Santa Clara County..." I wonder if these ads mentioned the purpose of the study, or if that information was only given out after initial contact (I don't know enough about IRB requirements here). A concern is that this could cause a selection bias for people who suspected they had the virus. People may respond to such an a…
Of course there is selection bias, which is why they make adjustments to make the sample better represent the population (see the abstract for details on this, or read the paper for all the details, there's well-established science behind these adjustments and it's up to the reviewers to be sure that they did it correctly). The point is that "they only found 50" is quite a large number compared to the number of confirmed cases.