Aeon 的最新消息
@RadCentrism @justthefacts85 I've wondered about that for a long time.
https://twitter.com/AeonCoin/s...
@michaelmina_lab @niamh_power Isn't some of this just hit or miss on sample collection. If you get a glob with a lot of virus in it you get one result and if you don't you get a different result? Is viral load consistent across multiple samples regardless of analysis technology?
发表时间:4年前 作者:aeon @AeonCoin@RadCentrism@justthefact85我一直在想这个问题。
https://twitter.com/AeonCoin/s...
@michaelmina_lab@niamh_power并不是样本采集中的偶然事件。如果你得到一个含有大量病毒的球,你会得到一个结果,如果你没有得到一个不同的结果?无论分析技术如何,多个样本的病毒载量是否一致?
@justthefacts85 Okay, what's the false negative on those?
"Rapid test" isn't that useful terminology btw, there are a variety of different technologies, and the data I've seen even specific to rapid antigen tests has a wide range of sensitivities, but I may not be interpreting it correctly.
@只是事实85好吧,这些的假阴性是什么?
顺便说一句,“快速检测”并不是一个有用的术语,有各种不同的技术,我所看到的数据,即使是针对快速抗原检测的数据,也具有广泛的敏感性,但我可能没有正确地解释它。
@BobHump28451784 @LucaFerrettiEvo @DavidM_yeg Not quite 10 years at 82 but close. The deaths of some (albeit a smaller number) younger people brings the average years lost for covid deaths to around 10-11. https://t.co/WmhB7cejVp
@BobHump28451784@LucaFerrettiEvo@DavidM_yeg不到10年,82岁,但接近。一些年轻人(尽管人数较少)的死亡使新冠病毒死亡的平均损失年数达到10-11岁左右。https://t.co/WmhB7cejVp