When comparing figures between previous years and 2020 one has to keep in mind that the current excess mortality is despite people adopting unprecedented behaviours like strict social distancing, regular hands cleaning etc.<p>That put things into perspective.
For those interested, there's a breakdown by sub-region by French National Institute of Statistics:<p><a href="https://www.insee.fr/fr/information/4470857" rel="nofollow">https://www.insee.fr/fr/information/4470857</a><p>Needless to say, it matches closely the COVID-19 clusters. Kudos to this institution used to release yearly studies for the quick turnaround. (and all the data is available to download).
These kind of graphs, while useful, still miss a point. My experience in Spain is that there are a some hotspots like Madrid where hospitals and morgues are collapsed but other cities/villages, which have the same lockdown didn't have so many infected people per capita, so they will actually have probably the same or less mortality rates. The country on itself looks bad, but in the hotspots is terrible
Unrelated, but this new website is way better than the old one which was online just weeks ago (<a href="https://web.archive.org/web/20200323070430/https://www.euromomo.eu/" rel="nofollow">https://web.archive.org/web/20200323070430/https://www.eurom...</a>).<p>Graphs are client-side rendered now ! And we can have the raw data too ! Great :-)
Could someone help me understand the all ages excess mortality graph? Naively it looks like<p>a) there were way more deaths in 2018 and 2019 than were expected, and<p>b) despite Covid-19, the excess mortality still hasn't caught up with 2018 levels<p>What am I missing here?
I think it's important to note that while the cumulative excess mortality is indeed increasing (it could hardly do otherwise since it's defined as a monotonically non-decreasing function) the weekly excess mortality count sharply decreased in the most recent week (week 16).<p>That said the decline is so large from the previous week (9289 vs 20975) that I suspect there may be some error in the graph or the data.<p>EDIT: My claim that cumulative excess mortality is defined to be monotonically non-decreasing is not correct, as the below comment points out.
The Swedish "Very high excess" is a bit surprising.<p>--<p>Extremely high excess: UK, France, Spain, Italy<p>Very high excess: Sweden<p>High excess: Switzerland<p>Moderate excess: Portugal<p>Low excess: Denmark
15-64 is a pretty wide age group covering everything from kids to senior citizens. I wonder why they havent divided it further into at least adolescent/adult and possibly +50
A general question: Can someone explain to me, why the integral of the z-score chart is not zero but positive?<p>Is the sum of the standard deviations not zero?
Anyone know why data only goes back to 2016. This organization was started in 2008, did it really take them 8 years to be able to start collecting data?