Mike Honey Profile picture
Oct 27 22 tweets 5 min read Read on X
Here are Excess Deaths for Australia, comparing 2015-2019 against 2020 onwards. Each individual excess death is represented by a single point, spread out across the weeks and years.
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COVID-19 infections are a direct risk factor for many other issues driving mortality, and also have an indirect impact on health system capacity & functioning, and general population health.
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With the winding down of testing and reporting for COVID-19, Excess Deaths now give the clearest picture of the ongoing impact of the pandemic.
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The visual is also available as a vertical scrolling page, which gives a more detailed perspective.

🧵mike-honey.github.io/AUS-excess-dea…
Comparing Excess Deaths to the reported COVID deaths from Australia, there was gap in the early months of 2020, when very few COVID deaths were reported. Testing was extremely limited in that period, so this probably shows a truer picture of the impact of the first wave.
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Excess Deaths then famously flipped into negative territory under the protection of the quarantine system during most of 2020 and 2021.
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Both series accelerated from late 2021 - the "Let It Rip" period. But while reported cases tailed off from mid-2023, Excess Deaths have continued at a similar elevated rate ever since.
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This contradicts the prevailing government and media narrative, accepted by most in the community; that the pandemic is over and life has returned to normal.
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Public health leadership surely see the same picture in their data, but in much richer detail.

IMO, it shows the ongoing failure of public health in Australia (as elsewhere) to stand up to the politicians and act in the interests of the public in their care.
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The data source is the HMD dataset of weekly deaths by Country.

🧵mortality.org/Data/STMF
The HMD dataset covers several countries - mostly high income/OECD member states. I will try to work through a similar analysis for each one, over the coming weeks/months.

It's a difficult topic, but one I prefer to face realistically.
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On this "context" page, I've added charts to explain the trends and calculations. For Australia since 2020, the excess deaths are +4.7% higher than the expected deaths.
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Here's the historical trend of weekly deaths for Australia: 2015 - 2019. The typical pattern was a winter wave and summer lulls.
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I derive the weekly growth for 2015-2019 and project the counts for 2020 onwards using the growth (or decline). This is standardised by the Age Groups available in the HMD data, to reflect the demographic mix more accurately.
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The result is considered "Expected Deaths". It is shown here against the actual deaths reported for 2020 onwards.
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I then subtract "Expected Deaths" from the actual/raw deaths, for 2020 onwards, to get "Excess Deaths".
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This gives similar results to the analysis of "Excess mortality" presented by OWID:

🧵ourworldindata.org/excess-mortali…
Of course Excess Deaths could occur for any reason. But the usual variations from the trend are tiny.
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If you want to point at any other driving cause besides COVID, to be credible it will need to:
- Be new in 2020, pause until late 2021 then resume
- Result in historically massive increases
- Be timed perfectly in sync with the waves and lulls of COVID, for the last 4-5 years.
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Audio credit:
Djúpalónssandur beach waves.wav by tim.kahn -- -- License: Attribution NonCommercial 4.0
🧵freesound.org/s/349133/
On a personal note, I will be imagining several people I knew as dots on the first chart.

I hope this also helps someone out there process their grief.
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Interactive World covid stats dataviz, code, acknowledgements and more info here:

🧵 endsgithub.com/Mike-Honey/cov…

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More from @Mike_Honey_

Oct 27
With the XEC variant on the way to dominance in most places, and XEC waves starting to show, it is time to ponder which variant will drive the next wave after XEC.

Here are the leading contenders: MV.1, XEC.2, XEM and XEK. They are shown here using a log scale, vs OG XEC.
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MV.1 is descended from JN.1.49.1 via MB.1.1.1. MV.1 adds the Spike:K478T mutation.

MV.1 showed some early success in India, reaching 22% frequency. Data from India has been sparse and lagging. The more recent data from Singapore shows it at an impressive 39% frequency.
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Here's an animated map showing the spread of MV.1. It was first reported in Maharashtra (India), in late June. It eventually spread to New York (USA) and then to all points of the compass.
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Read 20 tweets
Oct 26
Here's the latest variant picture with a global scope.

Growth of the DeFLuQE variants may have stalled.

Growth of XEC.*, also appears to have stalled at around 17%.
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Pressure on those 2 leaders is coming from a spread of challengers, including MV.1, XEM and XEK. I will cover these in a later thread.
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XEC.* variants are holding a growth advantage of 3.6% per day (25% per week) over the dominant DeFLuQE variants. That predicts a crossover in mid-November.
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Read 4 tweets
Oct 20
Here's the latest variant picture with a global scope.

DeFLuQE variants continue to grow, dominating FLiRT and FLuQE variants.

FLiRT and FLuQE variants have been overtaken by XEC.*, growing to around 17%.
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XEC.* variants are showing a slowing growth advantage of 3.4% per day (24% per week) over the dominant DeFLuQE variants, which are still growing themselves. That predicts a crossover sometime in November.
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Read 4 tweets
Oct 10
With the XEC variant on the way to dominance in most places, and XEC waves starting to show in COVID metrics, it is time to ponder which variant will drive the next wave after XEC.

The leading contenders at this point appear to be the sub-lineages XEC.1 and XEC.2.
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They are compared here using a log scale, so you can see their growth rates are respectable against OG XEC.
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XEC.1 adds the Spike K182R and ORF1a:L4182F mutations. It has been most successful in the Czech Republic and Slovenia.
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Read 19 tweets
Oct 4
The Provisional Mortality statistics have been updated by the Australian Bureau of Statistics (ABS), up to June 2024.

COVID-19 deaths quickened during June 2024 as the FLuQE KP.3.* wave began to have an impact.
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These are the deaths where the underlying cause of death was certified by a doctor as COVID-19 (18,557 deaths). Each individual death is represented by a single point, spread out across the years of the pandemic.
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The visual is also available as a vertical scrolling page, which gives a more detailed perspective.

🧵mike-honey.github.io/australia-covi…
Read 10 tweets
Oct 4
This thread by @SolidEvidence gives an update on the Bavarian BA.5 chronic case that has apparently been evolving in an 18-month-plus infection.

It was detected in wastewater samples by @LongDesertTrain.

I will try to add some context on the sharing of wastewater samples.
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Sharing of wastewater samples via GISAID makes discoveries like this by expert variant trackers like Marc and Ryan possible. But the data is extremely sparse.

Here's a map of all the wastewater samples shared via GISAID this year.
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There are just a handful of places sharing data, mostly in Europe and India.

There is no data at all this year from North America, Oceania or Africa.

Locations are approximate - typically country and state/province.
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Read 11 tweets

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