(English version)
Mortality and use of intensive care due to coronavirus in Sweden, Norway, Denmark, Finland, Iceland and Estonia; updated with data from yesterdays (2.4) reports.

Fig 1(6). Mortality per million population: /1

Fig 2(6). Mortality per million population on log-scale: /2

Fig 3(6). Absolute number of deaths since 10th death in the country.
(Attempts to get same starting point/phase of the epidemic for all countries. Not sure how well this actually works): /3

Fig 4(6). Intensive care per million population.
(Data for Finland and Denmark available only until 27.3; can’t get the cumulative data on nr of persons from their public reporting). /4

Fig 5(6). Intensive care per million population on log-scale.
(Data for Finland and Denmark available only until 27.3). /5

Fig 6. Number of patients in intensive care, cumulative since 10th patient. (Finland and Denmark only until 27.3) /6

Different graphs try to answer to different questions:
- 1&4: Burden of disease relative to the population size.
- 2&5: Rate of change in burden relative to the population size.
- 3&6: Rate of change in absolute numbers, trying to account for diffs. in phase of epidemic. /7

Sweden: patients older than in other countries, mean age those diagnosed:
Fin=46, Swe=60, Nor=48, Den=(52-58?), Ice=(43).
and hospitalised:
Fin=?, Swe=67, Nor=61, Den=65, Ice=?

Especially vs. Norway (and Finland?). /8

Yesterday Tegnell was discussing the phase of the epidemic and age distribution of those affected behind the mortality differences between the countries. This seems fully plausible with the data here. (I won't go into the possible reasons behind the age differences here.) /9

I use mortality/intensive care data from public sources to support monitoring of diagnosed patients (which challenging as test practices vary btween countries/ change over time).
For interpretation, these are objective measures, but at the same time not very sensitive. 10/10

Ps. I would be interested if the data about the age of affected/hospitalized can be imroved/checked. Especially the danish numbers. (It's a bit difficult to gather the data from national reporting; some things have gone "lost in translation" already.)