In advance of our work on excess deaths coming out in the next day or so, and with quite a few new followers, I thought I'd do a thread on how we calculate our baseline predicted values for 2022, and how these compare to what the ABS uses. #COVID19Aus
What did we do? We used ABS standardised death rates (SDRs) for each cause of death as the basis of our projections. The SDRs allow for changes in both population size and age mix. We built in trends for mortality improvement. We then converted that back to numbers of deaths.
What do ABS do? They use the average number of deaths in 2017-19+21 without any adjustment for population changes or trend.
Hopefully this graph (for cancer deaths) demonstrates the difference.
Deaths (blue bars) have been growing each year while SDRs (orange line) have been declining i.e. higher deaths due to population growth/aging have outstripped reductions in deaths due to mortality improvement.
The ABS baseline for 2022 (grey bar) is the same as the actual number for 2019, and lower than 2020 and 2021. Anyone else think it looks too low?
Our baseline assumes that mortality trend will continue into 2022, and results in a number of deaths that is 5% higher than 2021.
Here's the same graph for dementia deaths. ABS too low?
And for ischaemic heart disease.
For heart disease, mortality improvement has been very high, resulting in a declining number of deaths each year. Here the ABS baseline looks too high.
For completeness, here is what the graph for all deaths looks like.
To be fair to the ABS, they do quote some SDRs in their commentary and I think they quite carefully do not refer to "excess deaths".
However, this is not how everyone reads there publications!
Our aim was to have predicted values that represented deaths “in the absence of the pandemic” so any excess could be attributed to the pandemic.
So our baseline includes no COVID-19 deaths (there would be none if no pandemic).
For respiratory disease and dementia, we used the 2015-2019 years only in forming our baseline. These causes were heavily impacted (in a good way) by the measures introduced to limit COVID-19 in 2020 and 2021, hence we ignored these years.
For all other causes other, we used all the years (2015-2021) to set the baseline. Deaths from these causes were largely unaffected by the pandemic in 2020 and 2021.
Hopefully that makes sense (I wrote this is a bit of a hurry!)
The end. Any questions?
I’m very annoyed at myself for using “there” instead of “their”. Where’s my edit button?!
For those who might want a more technical explanation of how we got to our baseline, you can find it in this blog.
Our latest on excess deaths in Australia, covering all cause mortality to 30 April, plus excess from COVID-19 only to 31 July. #Covid19Aus
TLDR: 13% excess (+6,800 deaths) Jan-Apr 22.
8% excess (+3,500 deaths) from Covid only May-July.
Covid third leading cause of death in 2022.
Total excess mortality for the month of April 2022 estimated at 9% (+1,200 deaths).
More than half is due to doctor-certified COVID-19 deaths. Other unspecified causes and coroner-referred deaths (which include some COVID-19 deaths) also made a significant contribution.
With January at 20% excess mortality, February at 15% and March at 7%, this takes total excess mortality for the first four months of 2022 to 13% (+6,800 deaths).
A (long) thread on reporting of Covid deaths in Australia.
There seems to be a lot of misunderstanding out there about reporting of Covid deaths, so I am writing this thread to hopefully dispel some myths (and so I can link people to it rather than repeating myself!)
This is based on my understanding from dealing with death statistics in different circumstances. I am not a medical profession, so have no first-hand experience of how deaths are certified. If anyone out there on #MedTwitter would like to correct me, please do so.
First off, we have daily surveillance reporting. The purpose of this data is to provide an indication of how the pandemic is trending. Note that data has been collected in this form for years for other communicable diseases such as flu, measles, etc, and is ...
Have NSW hospitalisations hit the previous peak of January 2022?
A thread/ #CovidAus#covidnsw
On the face of it, it looks like not. However the January peak of 2,943 in hospital with COVID-19 used a different definition of "hospitalised with COVID" compared with the current wave
Back in January, the definition of "hospitalised with COVID" was if the time between COVID symptoms and admission date was less than 28 days.
This changed on 3 Feb 2022 to be less than 14 days, resulting in less people counting as being hospitalised for COVID.
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.
A little bit more on the census/vaccination rates. There is something very odd going on with the vaccination rates at older ages...
A thread/
Up until now, the vaccination rates have been calculated by dividing the number of people vaxxed by the estimated resident population (ERP) at 30 June 2020. With the last census performed in 2016, the 2020 estimates was getting a little rubbery.
And with the main rollout of first doses mainly happening from Feb 2021 to Oct 2021, it is more correct to use the ERP at June 2021 rather than June 2020.
Cases have fallen by 19% since last week, and this has been pretty much across the board for all age groups.
The data on numbers of people admitted to hospital or ICU has improved since two weeks ago, but there is still the backdating issue with Figure 1 (the latest week is revised upwards in the subsequent week's report).