Karen Cutter Profile picture
Dec 1 12 tweets 5 min read
The NSW Health epi report for the week ending 26 Nov is now out.
A thread, where I get cranky (again)/
#Covid19Aus #Covid19NSW
You can find the full report here...
health.nsw.gov.au/Infectious/cov…
Cases up 19% in the week. As mandatory reporting of RATs was discontinued on 14 Oct, cases since then are not comparable to the earlier timeseries
Here are cases split between PCR and RATs. A rough estimate is that if RATs were still mandatory, we'd be pushing around 50,000 cases this week (rather than 33,000). (@dbRaevn usually does a more accurate estimate, utilising the info by age band.)
The number of PCR tests conducted is up by almost 10%, and the positivity rate has also climbed to almost 20%. This is the highest it's been since I started recording it (although positivity was much higher in Jan). Not good.
By age band, all went up by between 15% and 25%
Here's where I get cranky. Hospital admissions.

For anyone who missed it, here is a thread I did a couple of weeks ago on this issue.

The very first statement in the NSW Health report, at the very beginning of their summary, it says "While hospitalisations and ICU admissions decreased this week, there were ..."
This statement is simply not true.
Hospital admissions DID NOT DECREASE.
NSW Health compared the daily average of 87 admissions this week (BEFORE late reported admissions), to the 89 from last week (AFTER late reported admissions).
(I estimated last week that the 73 would grow to 88 with late reports. Off by 1.)
Admissions have gone up by 19%.
The number of people in hospital grew by 18%, very consistent with the increase in admissions if you measure it properly.
The reason why this bugs me so much is because it is just so obviously incorrect.
There are enough people saying that govt are trying to hide figures from us, and things like this just add fuel to the fire.
(ok, so maybe me pointing it out also doesnt help...)
Moving on.
25 deaths this week.
With the change to reporting on registered deaths only via BDM, any signals on increased numbers of deaths will be slow to come through.
Not much of an update on the variant picture this week (they didnt add a new week, but some figures have been revised slightly following additional sequencing). So this picture is almost 2 weeks old.
- BQ.1.1 = 18%
- BA.5 = 25%
- BR.2 = 25%
- BA.2.75 = 20%.
ends/

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More from @KarenCutter4

Nov 24
Anyone remember this thread I did on deaths by vaccination status? I said then that the vax status had not been linked to deaths which was why no analysis had been done.
But I was wrong.
I discovered today that the Australian Immunisation Register (AIR) has been linked to the Multi-Agency Data Integration Project (MADIP).
health.gov.au/initiatives-an…
MADIP is a database maintained by ABS that includes information on health, education, government payments, income and taxation, employment, and population demographics.

abs.gov.au/about/data-ser…
Read 6 tweets
Nov 22
Today's pedantry is brought to you courtesy of @NSWHealth. Specifically the "seven-day rolling average of daily hospital admissions".
(Apologies in advance to my long time followers who have heard me rant about this in the past.)
A thread/
Before I get into details, I'd like to say up front that I DO NOT BELIEVE that NSW Health (or any other Govt authority) is deliberately trying to hide data from the public, or to manipulate the statistics.
I think its more a combination of lack of resources, tricky concepts, etc.
So what's my issue?
Every week, in their main highlights, NSW Health has a statement like: "The seven-day rolling average of daily hospital admissions increased to an average of 63 admissions by the end of this week, compared with 55 admissions at the end of the previous week."
Read 8 tweets
Nov 21
Proportion of employed people working fewer hours than normal.
I went purposefully looking for this data a few months ago and couldn't find it, and today I've stumbled across it!
A short thread/
The ABS Labour Force statistics cover reasons why employed people may have worked less hours than normal in a given month.
Reasons include:
- No work, not enough work available, or stood down
- Annual leave, holidays, flextime, or long service leave
- Own illness or injury or sick leave
- Standard work arrangements or shift work
- Personal reasons, study, caring for sick or injured family
- Maternity, paternity or parental leave
- Bad weather or plant breakdown
- Other.
Read 17 tweets
Nov 17
NSW Health have released their epi report for the week ending 12 November.
A thread/
#Covid19Aus #Covid19NSW

You can find the full report here...
health.nsw.gov.au/Infectious/cov…
Cases are up 60% this week, back above 20,000 for the week.
While not shown here, RAT cases more than doubled (up from 3,600 to 8,000) while PCR cases increased from 10,500 to 14,600.
PCR test positivity is still going up, at 16% this week.
Read 9 tweets
Nov 17
An excellent short piece by @meepbobeep on US mortality in 2020 and 2021 (provisional data).
A thread of a few highlight (lowlights really)/
The age-adjusted mortality rate increased by 17% in 2020 and a further 3% in 2021.
The age-adjusted mortality rate for 2021 is similar to levels last seen 20 years ago.
The increase in mortality in males was higher than in females in both years (M 18%, F 15% in 2020; M 4%, F 2% in 2021)
Read 12 tweets
Nov 16
The ABS released some new data on Covid deaths today, looking at breakdowns by various demographics over the different Covid waves.
#COVID19Aus
A thread/

You can find the full report here...
abs.gov.au/articles/covid…
The ABS have reported on the following waves:
- wave 1 = March-May 2020
- wave 2 = June-Nov 2020, predominantly in Victoria
- Delta wave = July-Dec 2021
- Omicron wave = 2022, with some stats further broken down by month.

Data is based on registered death certificates.
First up, they show a table of deaths *from* covid (ie. covid was the cause of death) versus *with* covid (ie. covid was a contributing factor). But I find my own graph easier to understand 🙃
Proportion with covid increased in the Omicron wave with increased prevalence.
Read 12 tweets

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