Authors Simon Nicholls

7 days 30 days All time Recent Popular
Most 🌍 comparisons for C19 go wrong as they don't considering demographics.

For countries I've managed to src detailed death data for, here's total d/1m numbers.

Sure,🏴󠁧󠁢󠁥󠁮󠁧󠁿🏴󠁧󠁢󠁷󠁬󠁳󠁿 look similar to 🇧🇷🇵🇪, but just look at the differences <60, 🇵🇪 4x larger.

So what does this mean?

1/9


Basically, fewer >80, means they've had⏫spread, and ⏫younger deaths, but👀equal.

Here ranking⏫2⏬by age are:
▶️20 countries
▶️NY city
▶️The World
That I've 👀at so far.

50% marks the median age, e.g.
🇮🇹 47
🏴󠁧󠁢󠁥󠁮󠁧󠁿🏴󠁧󠁢󠁷󠁬󠁳󠁿41
🌍30
🇳🇬18

So expecting similar deaths overall is silly.

2/9


So how have deaths actually played out?

Here are the props. by age to late Dec for places with detailed data.

Looks like NYC, 🇧🇷 & 🇵🇪 have seen far more in the young.

Now these all have younger pops. so is spread the same? Are diff just down to demographics?

3/9


No, many factors, the biggest age, and the likelihood of death in each age band.

🌍serology studies have sampled a similar risk in each 10yr band, with this going up 3 fold with each band.

Here is a plot of what🌍avgs are.

So what else do we need to worry about?

4/9


Factors like:
▶️healthcare: beds nos, better care, etc
▶️comorbidity rates: e.g. obesity, OECD 4x India, but only effects 15%
▶️lifestyle impacts: carehomes VS elderly@home
etc

But, many cancel out.
e.g. 1st🌍better healthcare, but fatter.

What about a lack of treatment?

5/9