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Right now, we know more about what's going on in Budapest than we do about our own bodies.

Diagnostic-grade wearables change that. Get a constant stream of telemetry out, and you can start mapping causes to effects by looking at stimulus/response.

Like this, but for everything:
Paper from @segal_eran et al. Shows through omic profiling that different people can have very different responses to the same food.

But now we can actually see that in the body. And can predict that response from omics. And maybe apply this to drugs too.
cell.com/cell/fulltext/…
Note that in that paper, they weren't using wearables.

But the general concept is to take a battery of assays (everything from self-report in a food diary to blood tests to wearables), do data integration, and then predict.

See Snyder integrome paper.
nightingalehealth.com/research/blog/…
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Balaji S. Srinivasan
@balajis
Expect much more of this. Why give free content in the form of quotes & interviews to media corporations?

Every content deal is a business relationship, down to the individual quote. If it doesn’t make sense, just go direct. Build your own distribution to avoid distortion.
Gen Z gets this intuitively.

They are all individual media entrepreneurs who understand the commercial value of attention (“check out my Soundcloud”).

And so corporate journalists are getting paywalled from below.
A Gen Z influencer might love the media and want to become a journalist. Or they might hate the media and distrust all journalists.

Or a mix of both.

But either way they won’t give a scoop to an employee of another media corporation. Maddow doesn’t go on Ingraham or vice versa.
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Balaji S. Srinivasan
@balajis
Ideally we’d have vaccine, drug, or testing to identify green zones.

But testing hasn’t ramped. Cases haven’t fell. And we have mass unemployment.

We need to make hard choices. Elad helps with new data showing under 40s are 52% of US but 1% of deaths.

So: age-based unlockdown?
Elad’s work is valuable because he pulls data from many countries. Data we only really had over the last month.

Death isn’t the only outcome, of course. The young may still be hospitalized. Or suffer long term issues.

But it looks like they usually live.
A huge question is: for the young who survive COVID-19, are there long-term issues?

It’s anecdotal, but the serious and/or lengthy illnesses of healthy people under 45 like @katgleason & @DavidLat gives pause.

You still don’t want to get this. See also:
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Balaji S. Srinivasan
@balajis
Good article that surveys the heterogeneity of data on the virus' severity. Death is of course the worst outcome, but hospitalization and emerging reports of long-term damage to the lungs or heart aren't great either.
washingtonpost.com/health/as-offi…
Also a good NYT article on heterogeneity.

I consider the most solid evidence for high severity to be (a) spikes in all-cause mortalities in places like Italy, Spain, NYC and (b) case studies by physicians who've dealt with surges of virus patients.
nytimes.com/2020/04/17/us/…
Here's a theoretical framework for dealing with heterogeneity. If we could assemble a single large table of all cases, all the various statistics we are looking at could be conceptualized as roll ups or SQL queries on that large table.
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