Catching up with yesterday's press briefing, some of the answers of the PHO are disappointing. On including private tests: "some of those are included", "even without those our testing rates remain low". What are the rates? How many are "some"?
And why has the PHO, week after week, been pointing to positivity rates that include private routine asymptomatic testing as evidence that we are doing well when they now nonchalantly point out that this (of course) skews the positivity rate.
The blurring of lines between routine asymptomatic testing with asymptomatic testing in response to an exposure event is also very unhelpful. The PHO must understand the difference, and blurring the line between these is distracting from prioritizing effective TTI strategies.
But what's really disturbing in that answer is the PHO saying that "we look at the epidemic curve by date of onset of illness" (which is great, we should be doing that!), continuing "and that’s available on the BCCDC dashboard" -- which is plain false.
And not just a false statement in some innocent way, many have been calling for this data to be made available. Having meaningful data available is paramount for a pandemic response.

I have something to say about the follow-up too, but that will have to wait until later.
The follow-up was asking "why do data analysts believe that BC has stopped sharing how many health workers are testing positive". Disclosure, I am one of these "data analysts". PHO says this is being reported to PHAC.
However, the senior advisor to the original SARS report has been told by StatCan that BC "stopped sharing the 'Occupation' information with PHAC", among other data irregularities he found in BC.
And indeed, data on occupation is still not available through the PHAC data curated by StatCan. In this graph the green "not stated" category was always present, but it became the exclusive category in week 18, after which no Occupation data is present.
Now, the resolution to this apparent contradiction is possibly that BC still shares the data with PHAC, but exploits the idiosyncrasies of Canadian health data sharing by leveraging their data ownership to veto PHAC sharing of basic statistics.
Someone somewhere knows the answer explaining this data mess. Whether BC is not sharing the data with PHAC, or whether BC still shares the data but vetos PHAC from releasing basic stats, it's a problem that needs fixing.

• • •

Missing some Tweet in this thread? You can try to force a refresh

Keep Current with Jens von Bergmann

Jens von Bergmann Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!


Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @vb_jens

17 Oct
Folding in today's data release BC looks like it's on a clear upward trajectory again. This is not good. The time for coordinated counter measures was probably two months ago, but better late than never. This train is moving in the wrong direction and need to get off. Image
Fraser is driving this trend, and we might want to think about a regionally differentiated response. But it's not clear to me that the boundaries between Fraser and Vancouver Coastal at that meaningful, looking at finer geographies would make it easier to tailor the response. Image
For comparison, people in SK are worried about their 7 day incidence reaching 5 cases per 100k in the near future. From BC's perspective those numbers sounds really nice, Fraser is at 33 right now and Vancouver Coastal is at 25.
Read 4 tweets
9 Oct
The question why Canada learned so little from its SARS experience is interesting. After all, much of the success of Taiwan fighting Covid-19 is due to their action plan developed in response to SARS.…
The senior advisor to the original SARS report has written a follow up looking at where things broke down in the Canadian covid-19 response, focusing on failures to protect health care workers and how Canada mismanaged the response.
The whole report is worth a close read, but one section that was of particular interest to me is the one on data. And how lessons from data failures during SARS weren’t implemented. While focused on health care workers, the data failures extend far beyond that.
Read 11 tweets
7 Oct
And today's covid numbers are up. More evidence that the initial decrease we saw a little over a week ago has given way to a slow increase. Image
Testing is down, usually we see numbers going up at this point in the weekly testing cycle. Hopefully that's just a short term blip. Image
And with testing down, positivity is up. Not a good sign, hopefully we get those test numbers back up. Image
Read 4 tweets
23 Apr
Introducing census tract level T1FF tax filer time data for years 2000 to 2017 at the census tract level as open data. Available for mapping on CensusMapper or API access via web interfaces or {cancensus} R📦. Made possible through a project with CMHC.…
The data is annual, so it's great for timelines. Census tract level enables to see neighbourhood level change. And T1FF data goes beyond just income variables, here is a view into the annual change of 5-11 year olds 2001 through 2017.
Of course the data has lots of income related variables. Here is the change in (inflation-adjusted) median couple family income between 2001 and 2017.
Read 6 tweets
1 Apr
Good to see open data. Should allow programmatic back-filling of data @ishaberry2 and @covid_canada have been collecting manually. Does not yet contain today’s new numbers, hopefully they will improve update frequency.
Would love to see this kind of data from other provinces too. BC used to publish case details in daily briefings, but stopped March 13th. The fine folks at @Data_BC have the expertise and technology to implement an API in a heartbeat, all it takes is political will. cc @adriandix
Added benefit of having clean data like this is that we can immediately pull together descriptive stats. And they are reproducible and can automatically be updated when new data is available.
Read 6 tweets
14 Jan
If you are interested in learning about "Reproducible and adaptable workflows using StatCan data in R" but missed my CABE webinar earlier today, the slides are online.
There are other useful resources out there to help with the packages. The documentation has a convenient function reference, as well as introduction and example articles.…
Same for the {cancensus} package, complete with instructions of how to get your (free) API key and set it up so it's ready to use in every R session without exposing it when sharing code.…
Read 6 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!