加州圣克拉拉县抗体测试结果:是现在确诊人数的50-85倍。

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我们测量了圣克拉拉县SARS-CoV-2抗体的血清阳性率。方法在2020年4月3日至4日,我们使用侧流免疫分析法对县城居民的SARS-CoV-2抗体进行了测试。参加者是使用Facebook广告招募的,

北加州南湾的,antibody的初步结果出来了

来源: backyardfun 于 2020-04-17 09:39:23 [

Santa Clara county, 大概2.5% ~ 4.1% 得过C19, 大概四万八千到八万一千人。 是confirmed cases的50~85倍。
如果按照这个数字看,死亡率在 0.12% ~ 0.2%。
paper 在下面,请懂行的批评。
COVID-19 Antibody Seroprevalence in Santa Clara County, California

 
COVID-19 Antibody Seroprevalence in Santa Clara County, California

Eran Bendavid, Bianca Mulaney, Neeraj Sood, Soleil Shah, Emilia Ling, Rebecca Bromley-Dulfano, Cara Lai, Zoe Weissberg, Rodrigo Saavedra, James Tedrow, Dona Tversky, Andrew Bogan, Thomas Kupiec, Daniel Eichner, Ribhav Gupta, John Ioannidis, Jay Bhattacharya

doi: https://doi.org/10.1101/2020.04.14.20062463

This article is a preprint and has not been certified by peer review [what does this mean?]. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.



Abstract
Background Addressing COVID-19 is a pressing health and social concern. To date, many epidemic projections and policies addressing COVID-19 have been designed without seroprevalence data to inform epidemic parameters. We measured the seroprevalence of antibodies to SARS-CoV-2 in Santa Clara County. Methods On 4/3-4/4, 2020, we tested county residents for antibodies to SARS-CoV-2 using a lateral flow immunoassay. Participants were recruited using Facebook ads targeting a representative sample of the county by demographic and geographic characteristics. We report the prevalence of antibodies to SARS-CoV-2 in a sample of 3,330 people, adjusting for zip code, sex, and race/ethnicity. We also adjust for test performance characteristics using 3 different estimates: (i) the test manufacturer's data, (ii) a sample of 37 positive and 30 negative controls tested at Stanford, and (iii) a combination of both. Results The unadjusted prevalence of antibodies to SARS-CoV-2 in Santa Clara County was 1.5% (exact binomial 95CI 1.11-1.97%), and the population-weighted prevalence was 2.81% (95CI 2.24-3.37%). Under the three scenarios for test performance characteristics, the population prevalence of COVID-19 in Santa Clara ranged from 2.49% (95CI 1.80-3.17%) to 4.16% (2.58-5.70%). These prevalence estimates represent a range between 48,000 and 81,000 people infected in Santa Clara County by early April, 50-85-fold more than the number of confirmed cases. Conclusions The population prevalence of SARS-CoV-2 antibodies in Santa Clara County implies that the infection is much more widespread than indicated by the number of confirmed cases. Population prevalence estimates can now be used to calibrate epidemic and mortality projections.

Competing Interest Statement
The authors have declared no competing interest.

Funding Statement
We acknowledge many individual donors who generously supported this project with gift awards. The funders had no role in the design and conduct of the study, nor in the decision to prepare and submit the manuscript for publication.

Author Declarations
All relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript.

Yes

All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.

Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

Yes

I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.

Yes

https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v1
 
这个有点让人吃惊。怀疑测试套件有问题。
 
等大牛解释。这个一定要有合解释才行。
 
觉得未必感染了才有抗体,有些人天生免疫。
 
50-85倍,如果用60的话,乘上目前美国感染数据,大概4000万出头,好像和这个季节的流感人数吻合哦。巧合吗?
 
可能是假阳性。。。

所以说抗体测试不能急于求成,一定要保证准确率。。。要是这些人中假阳性的都复工,可能会继续感染。。。
 
这倒是个好消息,说明很有可能这个病毒早就存在,当然并不确定有抗体就能免疫,因为此病毒跟流感相似,善于变异。
 
50-85倍,如果用60的话,乘上目前美国感染数据,大概4000万出头,好像和这个季节的流感人数吻合哦。巧合吗?
五毛的特点是关于数字的东西张嘴就说,反正也没后果。就算数字对上了,死亡人数还不够,再想想,咋圆圆呢。
 
看到昨天CCN报道过,美国前CDC主任说,现在的有些抗体测试结果不可靠。

现在还需要有进一步的研究。
 
这倒是个好消息,说明很有可能这个病毒早就存在,当然并不确定有抗体就能免疫,因为此病毒跟流感相似,善于变异。
要么就是太灵敏了,要么就是检测仪器出问题了。
 
到目前为止,美国到底有多少感染者?

来源: LingYuan 于 2020-04-16 19:02:00

到目前(4/16/2020)为止,美国已经有COVID-19确诊患者63万人。但这只是测出来的。还有很多感染者没有测或者想测不能测。显然,实际的感染人数要比检测确诊患者人数来的多。那么到底有多少人感染者呢?这是很多人心目中的一个疑问,同时也是很多有关决策的基础数字。

为此,笔者用概率的方法做了估算, 如下图所示,最可能的总感染人数是940万人,大约为2.85%的总人口 (美国总人口大约3.31亿),即在总人口中,每35人中有1个是感染者。这说明,如果您去购物或外出,每遇到35人,就很可能遇见一个带原体。

如果用确诊人数衡量的话,感染人数是确诊人数的14.6倍(以前用日增比方法推算为15倍)。目前美国总共住院患者为7万5千人。为总感染人数的0.8%。如果我们假定住院的患者为重症患者的话,重症患者为0.8%的总感染人数(为确诊人数的12%)。

您可以用您已知的地方数据,或某一特定人群中的数据,例如您所在的小区或城镇或您的工作单位,来衡量一下,3%人口是否符合您当地的事实。当然您的地方数据越随机越好。例如,在整个中国人群中,这个比例会小(约1%?),而在非州裔族群中要高。或者如果集中在某一年龄组,也会有偏差(50-60岁年龄组最高),等等。当把这些因素做适当的校正后,应该接近3%。

1587145863822.png


 
也有这个可能,否则很难解释这么多的确诊人数
有些常识性的都能估计一下。感染病人里面的死亡率,重症率都是有统计数据的,没法造假。现在即使纽约的医疗资源还没有崩溃,所以大致的数据也就知道了。
 
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