1/21 Sweden. This respiratory illness season's age adjusted all-cause mortality was significantly lower than both 2016/17 and 2017/18. Will our myopic focus on one cause of death optimize public health outcomes? Why isn’t all-cause mortality the metric we strive to minimize?
2/21 Crude pop. adj. deaths this season never caught up with 2016/17 levels. It did so only briefly compared to 2017/18 (week 21) but returned to a deficiency by week 36. By week 41 cumulative deaths 2019/20 were approximately 500 and 1,500 below the previous seasons.
3/21 Please note that I’ve only corrected for the crude population growth of 3.8% 2016-2020. I made no adjustment for the more rapid growth in the elderly population, and yet mortality came out lower this season (despite simultaneous prevalence of both flu and Covid19).
4/21 Seeing as some age-groups are at much higher risk for severe respiratory illness, we can make more accurate if analyzing more tightly defined age-brackets. Please see the thread below for an introduction to the importance of demographical change.
5/21 This table shows the changes in population that underpin all the subsequent tables and diagrams. Notably, 70-74 and 75-79 have increased by 26% and 24%, respectively. 80-84 and 90+ have increased by 8% and 6% while 85-89 has been largely unchanged.
6/21 Simply put: the demography more susceptible to respiratory illness (70+) increased by 17%, while the low-risk proportion of the population (69 and below) only grew by 4% over between 2015-2020.
7/21 This summarizes the whole Eurostat dataset in one color coded table (green is good, red is bad). It shows that this season has been among the least deadly in the past ten years for 15 out of 19 age groups, and much less deadly compared to what we saw in 2016/17 and 2017/18.
8/21 It turns out 14 age brackets recorded lower mortality than in 2016/17, and only five age brackets showed excess. Out of these five, only two were age groups that show some impact from Covid19. In these two, the difference was 1% and 2%, respectively.
9/21 Coincidentally, two of the age groups with outsized mortality 2019/20 was the high schoolers and university students (15-24), the only age group to have had in-person teaching suspended. Fortunately, it doesn’t seem to be a direct LD effect as the excess occurred in week 2.
10/21 These 20 diagrams visualize the development of mortality in each age group over time. I am pressed to find any signal of something significant taking place season, with the exception perhaps of the 15-19 bracket.
11/21 Hereafter follows two diagrams for each age-bracket 70+. For <70 the weekly diagrams becomes highly erratic and it is difficult to discern any Covid19-effect, but for those interested I will keep adding the remaining age brackets as an appendix at the end of the thread.
12/21
90+ (-1.2% mortality vs 2016/17)
85-89 (-0.7% mortality vs 2016/17)
13/21
80-84 (+1.8% mortality vs 2016/17)
75-79 (+1.1% mortality vs 2016/17)
14/21
70-74 (-10.7% mortality vs 2016/17)
15/21 Even among the elderly that are most susceptible to 2019/20 mortality does not stand out in a historical perspective, not even in the short term. In the few exceptions where mortality exceeded that of the 16/17 & 17/18 seasons the excess was 2% or less.
16/21 Sweden has recorded more than 6,000 deaths with Covid19. Yet all-cause mortality remains low in a historical perspective, and remarkably low for just about all age brackets below 75 years of age. Yet our focus is solely on the Covid19-related deaths.
17/21 I believe the health authorities should include reports on all-cause mortality in their communication. The pandemic is a global concern, and now that Sweden has unwillingly become the control group we have a responsibility to minimize the misinterpretations of our data.
18/21 I believe a return to a broader perspective on public health than simply counting Covid19-coded deaths is long overdue. Furthermore, it is not adequate to look at crude population adjusted all-cause mortality because, among other things, we have to account for demography.
19/21 The 1st full season with broad community spread of Covid19 has been concluded with low mortality relative to previous seasons. The 2nd season began in week 40. If history is any guide the winter weeks come with 100’s of more deaths than summer/fall, Covid19 or not.
20/21 (Please keep in mind that if we allocate deaths based on calendar year, we split the seasons of respiratory illness in half and mix up different dominant pathogens. This season we would also end up adding up the mortality of two respiratory illness seasons).
21/21 As always, I appreciate if anyone could point out potential shortcomings in my line of thought. If there is any good reason why we still haven’t shifted our attention to all-cause mortality I would love to hear it.

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More from @EffectsFacts

22 Oct
1/10 Sweden - cases, deaths & testing. A 2nd wave of PCR testing has created a 2nd wave of bad analysis of Swedish data. Influential commentators have eagerly picked up the increase in cases that has followed a ~3x increase in testing. It is time to revive some old diagrams.
2/10 Sweden. Firstly, 20 weeks have passed since the 1st surge in cases with no subsequent increase in deaths. There was a smaller bump in cases 11 weeks ago, no increase in deaths. Cases have increases for 6 weeks straight with no noticeable effect on deaths – how can this be?
3/10 Apart from the initial outbreak, all increases in detected cases have coincided with upped testing. This time PCR testing increased from 54k to 139k between weeks 31-41. Would we normally be surprised to find more of anything if we expand our efforts ~threefold?
Read 11 tweets
8 Oct
(1/19) #covid19 Sweden. Respiratory illness IFR varies greatly with age. This season the demography-adjusted all cause mortality has been historically low in all available age brackets. A reminder that demography is a crucial factor in susceptibility that shouldn’t be overlooked.
(2/19) We will explore two types of diagrams for each age bracket. The first type is straightforward. In the second one you would expect the yellow lines to follow the blue lines if mortality in that age bracket remained constant (and the grey columns to remain close to 0).
(3/19) This thread should help wean us off crude PFR measures. But it’s worth mentioning that simply adjusting for overall population growth puts this season’s mortality at the 3rd lowest over the past 12 seasons. Has there been any shifts in demography that could affect PFR?
Read 19 tweets
14 Jul
(1/12) Big thread with 16 diagrams to investigate the “dry tinder” hypothesis (mild preceding seasons affecting future mortality). We begin with a deep dive into the Nordics – in short: the data does not seem to refute the hypothesis (preview in pictures).
(2/12) I provide comments in the pictures to keep the thread manageable. The diagrams are organized by country. Although I generally advise against inter-country comparison, in this case I would suggest looking at the same diagrams for different countries side by side too.
(3/12) Sweden. The outlier in the group in terms of response policy. A record-low mortality in 18/19 and 19/20 flu seasons could have spared a large population vulnerable to respiratory illness.
Read 16 tweets
9 Jul
(1/9) New thread and diagrams on cases/deaths in Sweden. I will keep this updated weekly to alert us if cases suddenly transform into a leading indicator of deaths. So far, the Swedish experience strongly suggest that they do not (once there is community spread). #Covid19Sweden
(2/9) A casual observer might be worried that the case count in Sweden has more than doubled over the last 5 weeks. But rather than a surge in mortality, deaths over the same 5-week period are down by 80%.
(3/9) It seems as soon as the spread of the virus has peaked (with mortality being the only reliable metric of this), cases are no longer relevant to determine the spread or severity of the virus and will more likely be dependent on testing strategy.
Read 10 tweets
6 Jul
(1/9) The decision to close schools is one of the most disruptive and potentially inefficient measure that has been attempted to counter Covid19. @NahasNewman and many others have worked tirelessly to protect the rights of children against fact-resistant calls to isolate them.
(2/9) Sweden didn’t close schools. If this policy was detrimental to their health, this should manifest in Swedish Covid19 statistics. What does the facts tell us? So far, out of 2.4 million people, one person below the age of 20 has died with Covid19 (0,000042% mortality).
(3/9) Perhaps you are more concerned about teachers? There is already a wealth of research showing that children only rarely transmit Covid19 . Teachers are probably more likely to catch the virus outside of school.
Read 9 tweets

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