Sweden's two-year mortality rate in 2019-2020 is one of the lowest in the last 10 years.
I even overestimated 2020 deaths by 2-3%.
Share this to everyone you know who tries to point at Sweden as an example of covid policy failure.
Their strategy has been a huge success.
Data is directly from Statistics Sweden - scb.se/en
Overall deaths have grown slightly but not in proportion to the population, so mortality rates have decreased.
2020 will have more deaths than 2019, but 2019 was an anomalously low year for mortality rate (about a 5% drop from 2018). 2020 will be about a 5-7% increase compared to 2018, essentially cancelling out the drop in 2019.
2019 might have had an abnormally low death winter season, pushing the most likely to die into 2020.
Continuing - it took me a while to realize that comparing mortality by year is a poor metric. January deaths are 15-25% higher in the US than July and more variable.
Example: Jan 2018 (bad flu season) had 30% more deaths than July 2017
Is it really fair to penalize 2018 by its flu season? Bad cold flu seasons seem to run on 2-4 year cycles, so aggregating 2 years (or more) should more fairly account for the varying degrees of winter deaths
Going further, it may be better to track deaths by year beginning from July 1 through June 30 to capture entire winter seasons.
Counting deaths from Jan 1 to Dec 31 counts two different halves of winter death seasons.
If I were to take this analysis further, I would count deaths over 2-4 year periods where the year begins July 1. Perhaps using a rolling average to see a more accurate depiction of death trends.
Since this thread is getting some traction, I'd like to shamelessly let everyone know more about me.
I'm an independent python data science educator and author of several books - Master Data Analysis with Python - being the most popular.
Explanation of matplotlib "inches" - a tutorial thread
Inches is a relative term. You must know the figure dpi (dots per inch) and your screen's dpi to make sense of it. Default inline dpi is 72. Below figure is 5 x 2 "figure inches" or 360 x 144 pixels.
Using a screen ruler program (Onde Rulers) it actually measures as 2.2 x .98 "screen inches" on my screen and 324 x 144 pixels
Why not 360 x 144 pixels? Because figures are displayed in the notebook with setting bbox_inches set to 'tight' which trims some of the figure.