NEW: we’ve updated our excess mortality tracker, the best measure for international comparisons of Covid deaths

• US hit 122k a month ago, by far the highest worldwide
• UK 2nd on 66k
• Added Ecuador, world’s highest excess death *rate*

Free to read: ft.com/coronavirus-la… Image
Here are all countries’ excess deaths according to different metrics:
• Population-adjusted rate
• Raw numbers
• % of historical baseline

UK, Spain, Ecuador and Peru among the worst on most metrics. Image
Here’s our data for hardest hit cities & regions worldwide

Top row is all Latin America, which is now the undoubted global epicentre of the virus. Mortality has soared in the major cities of Ecuador, Brazil, Peru and Chile.

Also updated Moscow, where deaths are soaring. Image
Now showing 44 US states + DC. Will add more as data arrives.

Urban North East has seen bulk of US excess deaths, but most areas now showing elevated mortality.

Nationally, US hit at least 122k excess deaths by May 23, 30% higher than the 91k Covid deaths reported at the time. Image
Overall across the 24 countries where we have excess mortality data, we find 454,000 excess deaths during outbreaks.

This is 51% higher than the number of Covid deaths reported in these countries at the time.

You can freely access all our raw data here: github.com/Financial-Time…
UK has suffered one of worst outbreaks anywhere

Deaths have been:
• 52% higher than usual in England
• +41% in Scotland
• +34% in N. Ireland
• +34% in Wales

All 12 regions saw mortality at least 30% above normal

Bad outbreaks in many regions suggest action taken too late. Image
Here’s the same for Spanish regions.

Many parts of Spain had severe outbreaks. Three saw deaths more than double, and a total of 10/19 saw at least a 30% spike.

Nonetheless, the data suggest the worst of Spain’s outbreak was contained in fewer regions than the UK’s. Image
Here are Italian regions, now with fresh data

Lombardy hit v hard, and 5 other northern regions saw excess deaths of 50%+, but in most regions numbers were relatively muted, including Lazio (contains Rome).

5/20 regions saw no excess, and another 8 saw excess of less than 30%. Image
Finally here’s France, where Paris suffered badly, and the Grand Est region also faced a big outbreak, but although most other areas were affected none saw all-cause deaths increase by 30% or more.

For whatever reason, UK’s outbreak spread further than in peer countries. Image
We’re still looking for more all-cause deaths data, where India is now our top target, but any country is appreciated

Ideally daily, weekly or monthly data, for multiple years, and including 2020. Can be for one town or city, not just nationally

📦 ➡ coronavirus-data@ft.com 🙏
And a curious little footnote:

Russia usually publishes data on all deaths from natural causes with roughly a one month lag. Data for March were published on April 30, for example.

Almost two months later, there’s been no update. No deaths data for April or May... 🤔
Final note:

There are big time lags in death registration. Brazil & US probably the most affected here due to their size.

This means excess deaths for Brazil & US *for the period already shown* are likely to rise. We include historical revisions each time we update our charts.

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More from @jburnmurdoch

Feb 21
Good news:

As anticipated, the ONS infection survey, jewel in the crown of the UK’s pandemic surveillance efforts, is expected to be continued beyond this spring, though in a slightly scaled-down form.
Exact details of this downsizing will be critical to the question of how good a surveillance tool the survey remains, but it’s certainly possible to significantly reduce the number of households taking part while still having good quality, representative estimates of prevalence.
More good news: this may soon be supplemented with similar efforts from other countries.

Spain has published documents outlining proposals for its own sentinel testing programmes, which would monitor prevalence of not only Covid but also flu and RSV isciii.es/QueHacemos/Ser…
Read 4 tweets
Feb 15
A few people responding to my chart of Covid’s falling IFR with "how do you know it fell because of vaccines, and not natural immunity?"

Here’s IFR overlaid on immunity levels via vax vs via infection. Spot which source of immunity rockets just as IFR collapses... 🧐 Image
The period from Jan to July 2021, when IFR plummets almost 10-fold from 1.3% to 0.15%, coincides perfectly with vaccine rollout going from 0 to 90%.

During same period, share of adults who’d had Covid inches up from 20% to 25%. Not nothing, but tiny in comparison to vaccination. Image
To be clear: as I’ve written many times, infection-acquired immunity played a significant role in building England’s immunity wall, esp in second half of 2021, but steep drop in IFR during first half of the year was very clearly primarily due to vaccines
Read 4 tweets
Jan 31
NEW: our big story as trailed on Friday is a detailed analysis of the critical importance of vaccination in beating Covid

Top-line: if US had matched vaccination coverage of leading European countries, it would have *halved* its Covid hospitalisations

ft.com/content/03aa46…
This is due to the very steep age-gradient in risk of severe Covid, meaning even small gaps in coverage among the most elderly carry huge risk
Here’s vax uptake and waning among the elderly in the US and several European countries.

Note how that red "unvaxxed elderly" segment extends much further right for the US, with millions still vulnerable well into its summer Delta wave.

Far more severely waned second doses, too
Read 22 tweets
Jan 20
The steepness of Omicron’s rise and fall in South Africa really is something to behold.

Here’s Gauteng first, where it all began.

Cases, test positivity, admissions, deaths and excess deaths too all down almost as steeply as they rose, and in much less time than past waves.
We’ve all got used to comparing the height of "new daily x" charts over the last couple of years, but at the end of the day it’s not just wave height but also wave duration that determines the ultimate toll on public health, so it’s worth looking at each wave cumulatively...
And here we are:

*Daily* cases peaked close to Delta, but shorter wave means total cases much lower

With more acute outcomes it’s striking:
• Less than 40% as many hospitalisations
• 10% as many deaths, and excess deaths lower still

These numbers will rise, but not by much
Read 12 tweets
Jan 17
Lots of people asking if UK cases are really falling, or have we just exceeded testing capacity or seeing effect of the pause in requiring confirmatory PCRs

By comparing ONS infection survey to dashboard cases, we see the trends match. The fall in cases in recent days is real ✅
There is of course some variation, e.g prevalence in Yorkshire still climbing when reported cases began falling, but even there we clearly see a slowdown in ONS series, and looking across all regions it’s clear that those minor discrepancies are the exceptions that prove the rule
On top of that, new cases in hospitals — where testing capacity is certainly not limited — are flat or falling in all UK nations & regions, with that peak coming a week or so after cases turned, exactly as expected. Absolutely zero reason not to trust that infection peak is real.
Read 5 tweets
Jan 11
The Netherlands is one of the most interesting places for tracking the divergence of cases from more acute outcomes as Omicron takes over

Timing of its winter Delta wave meant numbers rose *and fell* before Omicron took off, so any rise now can reasonably be attributed to Omi
This is in contrast to places like the US where Omicron is piggy-backing on top of a fierce winter Delta wave, making it tricky to know whether it’s Omicron or Delta that’s sending hospitalisations ever higher
(Updated chart for all US states here)
Read 5 tweets

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