To see this, go to the paragraph, "P&I Mortality Surveillance", click on 'View Chart Data", then click through to the spreadsheet. The last two columns are pneumonia and flu, the third from last is 'All Deaths'. As you can see, flu is a small fraction most weeks going back years.
The term of art is ILI, which stands for 'influenza-like illness' and includes both. With Covid-19, so far near as I can tell, opportunistic pneumonia isn't being counted as a death. Those dying outside hospitals, at home for instance, aren't being counted. Deaths in elder care facilities may or may not; I have found reporting that still says, 'no', while other says, 'now they are'. In sum, death from flu or Covid-19 remains more apples to oranges than equivalent.
Which brings us to the Santa Clara county data. It's being reported that a survey showed a much higher percentage of the population had been exposed than previously estimated. There are a raft of such reports, some being more critical than others of how the survey was conducted. Be that as it may, my interest is in what isn't demonstrated by the data.
Here goes with the unanswered questions.
1 - are these long term, non-contagious asymps?
2 - are these long term, contagious asymps, aka Typhoid Marys?
3 - are these asymps within the expected period of asymp on the way to sickness?
4 - are these post-sickness (apparently super mild, since they didn't seem to know it) immunes?
5 - what, if any, is the length and strength of immunity, if that is what is being measured?
Obviously, if these are mostly, or even significantly, in cat 3, Santa Clara is looking at a super nova in sickness. Same, although in a more drawn out manner, if these are mostly, or even significantly, in cat 2.
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