Karen Cutter Profile picture
Jun 30, 2022 11 tweets 4 min read Read on X
Our latest assessment of excess deaths in Australia. This covers excess deaths from all causes to 31 March, plus excess deaths from COVID-19 only until 30 June.
A thread/
#CovidAus #ExcessDeaths #ExcessMortality
Total excess mortality for March 2022 estimated at 6% (+800 deaths).
Almost half of the excess is due to doctor-certified COVID-19 deaths. Other unspecified causes and coroner-referred deaths (which includes some COVID-19 deaths) also made a significant contribution.
With January at 19% excess mortality and February at 14%, this takes total excess mortality for the first quarter of 2022 to 13% (+5,100 deaths).
Only one week in 2022 has been close to predicted; all other weeks have been above the 97.5th percentile.
In Q1 2022:
- 60% of excess deaths are from doctor-certified COVID-19 (+3,000 deaths)
- doctor-certified deaths from heart disease, cerebrovascular disease, diabetes, dementia, and other diseases were all higher than predicted
- coroner-referred deaths were higher than predicted.
ABS data shows that in Q1 2022, there were 499 deaths in people who were COVID-19 positive at death but where COVID-19 was not the primary cause of death. i.e. COVID-19 was a contributory factor in around one quarter of the excess mortality from non-COVID-19 causes.
Daily surveillance reports show around 3,600 deaths from or with COVID-19 in Q2 2022 (900 in April, 1,300 in May, 1,400 in June).
Of these 3,600 deaths, we estimate that 22% will be deaths with (not from) COVID-19.
Thus we estimate that COVID-19 deaths alone will result in excess mortality of around 6% (+2,800) for Q2 2022, with overall excess mortality likely to be higher than this.
Combining our detailed excess death estimates to 31 March with our preliminary estimate of excess deaths due to COVID-19 only for Q2 2022, our conservative estimate is that Australia had experienced around 6,800 excess deaths across the pandemic by the end of June 2022.
These impacts by year can be separated into excess deaths from COVID-19 and other causes, noting the COVID-19 figures are for doctor-certified COVID-19 deaths only.
Here is the weekly chart for doctor-certified COVID-19 deaths. Charts for each cause can be found in the blog linked in the first tweet in this thread.
ends/

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More from @KarenCutter4

Apr 12
Some fact checking on this article.
TLDR: Australia has not reached a 'significant' COVID milestone
A short thread/
"Australia appears to have had at least a week where no COVID-associated deaths were recorded for the first time in more than two years."
This is simply not true. The statement is based on this Fed Health graph. Image
Yes, it does show a 7-day average of zero deaths for the most recent data points. But this ignores the fact that the graph is compiled using date of death, and it is almost impossible for someone to die, have their death registered, and included in the Fed data within a week! Image
Read 11 tweets
Apr 5
The Mortality Working Group of the Actuaries Institute has released our estimate of excess mortality for the full year 2023.
TLDR: Excess mortality for 2023 is 5% (95% CI: 3%-7%) or +8,400 deaths.
A thread/
actuaries.digital/2024/04/05/exc…
Note that our expected number of deaths (baseline) is our expectation had the pandemic not happened.
The baseline allows for changes in the age and size composition of the population over time, plus allows for pre-pandemic mortality trend to continue.
We finished the year with deaths being much higher than expected for each of the four weeks in December (as they were in November). Image
Read 15 tweets
Mar 27
Australian deaths counts: surveillance vs death certificates.
For some time now I have been quizzically looking at the death surveillance reporting, thinking the numbers looked too low.
A thread/
This is because of the relationship between hospitalisations and deaths.
Normally deaths track hospital admissions quite closely, but with a little bit of a lag. But for Dec23 and Jan24, this relationship changed - deaths are lower than expected based on hospitalisations. Image
A few theories were floating around about why (eg. JN.1 less severe), but it also didnt make sense to me from looking at the Vic death reporting, and knowing the Vic wave was a bit earlier than the rest of Aust. Things just werent stacking up nicely.
Read 8 tweets
Mar 1
The Mortality Working Group* of the Actuaries Institute has estimated Australian excess mortality to 30 November 2023.

A thread/

* re-branded as we plan to look at more than just Covid
Total excess mortality for the first 11 months of 2023 is estimated at 5% (95% confidence interval: 3% to 7%).
This is about 7,400 more deaths than expected if the pandemic had not happened.
This compares to excess mortality for 2022 of 11%.
With only one month of data still to be reported for 2023, we expect that excess mortality for the full year 2023 will be about half the level of 2022.
Read 11 tweets
Feb 21
The ONS has released a new methodology for calculating excess deaths.
A thread/
First off, I am going to say that this is NOT a conspiracy to hide excess deaths.
This is a government institution doing its best to estimate excess deaths in a sensible way, noting where we are in the pandemic.
Now that we are going into the fifth year post-pandemic, those of us measuring excess mortality are needing to make hard decisions on how to do it.
We are in a difficult phase (measurement wise) as we cant reliably estimate a pre-pandemic baseline (pre-pandemic was ...
Read 13 tweets
Jan 17
Last week the OECD published this paper on recent mortality trends, including yet another estimate of excess mortality.
How do the OECD results for Australia differ to the Actuaries working group results?
A thread/
oecd-ilibrary.org/docserver/78f6…
I'm going to start by saying there is no "right" answer to how to measure excess mortality.
By definition, excess mortality is the difference between actual deaths that occurred in a period, and a predicted number of deaths. And the predicted number is just that - a prediction
Depending on what you are doing, there may be valid reasons for choosing one particular prediction method over another.
In the case of the OECD, they are trying to form estimates for all OECD countries, and so choice of method can become very restricted. This is because...
Read 16 tweets

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