I have spent the past day weighing whether to like article because it is a fantastically executed example of #scicomm or dislike it because it is propaganda that distorts the evidence. english.elpais.com/society/2020-1… via @elpaisinenglish
What makes it so effective is the #dataviz, the relatable examples, and the plainspeak. I read the translated English version, and it really is wonderful to read. I came away thinking that aerosol transmission was so clear and plainly obvious. Until I realized this is propaganda.
It quotes a letter as an "article in the prestigious @ScienceMagazine" [finding] that there is 'overwhelming evidence' that airborne transmission 'is a major route'" for transmission. This is misleading.
Although it acknowledges that its simulations are just that, simulation, the reader (and many twitterati) have suggested that it is truth. I will take 1 example to show how the article misleads.
Here, they give an example of 6 people getting together in a home, and place the scenario & consequences as follows. From this, one would conclude (whether the authors are implying this or not), that household transmission should approach 83%—surely cohabitants are similar.
This is data from one of several meta-analyses looking at secondary household attack rate (SAR). What does it find?
Household SAR ranges from 3.9-30%.
Therein lies the problem: those arguing about the inarguable presence of aerosol transmission are ignoring (or avoiding) the inarguable evidence that it just ain't nearly as important as proximal spread.
Personally, I find this all tiresome. I think ventilation is important and avoiding indoor, crowded, unmasked exposure. But proximal unmasked exposure remains the primary means of transmission supported by the evidence.
I wish this article could be rewritten, acknowledging the epidemiological evidence we have and the uncertainty. Heck, I'd even be willing to co-author it! In meantime, caveat emptor.
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As @JPSoucy points out in this excellent 🧵, we have a experienced a considerable drop in testing. The question we don't know is: how many should we be testing? @skepticalIDdoc and other super-smart people suggest keeping our eye on %+. I am going to try to reframe the problem.
I will start off by saying this:
"cases" are numerator
"tests performed" are denominator
"% positivity" are cases/tests performed
If you do 20 surveillance tests (i.e. in asymptomatics) in a school, or 200, the % positivity will remain the same, but the "cases" will increase.
Cases matter.
They theoretically matter to the case (so they can receive treatment if they need it).
They should matter to public health to identify contacts (who may be infected) #ContactTracing
They should matter to everyone if we are treating them as surveillance.
This is a followup to my thread yesterday to help the public understand better what is going on in Toronto (and Ottawa, Peel, and the rest of Ontario). I am going to focus on what everyone needs to understand about the ON testing fiasco (which is being played out elsewhere too)
First: I get my data from @jkwan_md@imgrund@JPSoucy@ishaberry2 to support my understanding. They get it primarily from publicly available sources, and make the data easy to understand.
Second: our daily case # in ON are artificially low (by ~330) because of the backlog.
The backlog was entirely preventable. I was told months ago when I asked that the reason labs weren't able to increase capacity was $$ from govt. @bruce_arthur covers this accurately here
My biggest concern in Toronto at present: the public doesn't understand the acuity of the situation, and are therefore understandably upset at current developments. So I will try and outline my understanding of the current situation:
Testing: we have a 7-day average of about 240 cases/day. This is an underestimate of the number of tests, because of a) backlog, b) system challenges that are dissuading people from being tested, c) over-weighing of younger cases, which makes asymptomatic cases more likely.
Regardless, our testing system is overwhelmed, and so we have no gauge on our gas tank.
The number of cases has totally exhausted @TOPublicHealth capacity.
My bread-and-butter framework comes from @SusanMichie and colleagues: The behaviour change wheel: a new method for characterising and designing behaviour change interventions. doi: 10.1186/1748-5908-6-42 ncbi.nlm.nih.gov/pubmed/21513547
1. Education: this has a weak track record. But maybe universities/colleges—regardless of virtual or not—can make knowledge a criterion of ongoing assessment/performance.
1. It COULD just wait and see what happens. It SHOULDN'T do that, and SHOULD act NOW. 2. It COULD act in a province-wide manner. It SHOULDN'T do that, but rather focus regionally on the hot-spots, and minimize unnecessary hardship where benefit is minimal.
3. It SHOULD increase testing capacity, but it can't. (Media should ask why we haven't increased capacity over the summer, because I dunno.) 4. It SHOULDN'T continue the mantra of "everyone who wants can get a test". It SHOULD articulate a proper capacity-based testing strategy.
The public are rightly concerned about class sizes, ventilation, and personal protective equipment in classrooms. They are all important, and govt should act. But they have directed attention, IMHO, away from what is much more important: keeping infections out of the classrooms.
We’ve all done our part to keep infection rates low in the province—that buys us a bit of time and will have prevented US-like scenarios. But we won’t be getting numbers lower any time soon with current plans. Unless we go all @IrfanDhalla and truly aim for elimination.
The highest forms of disease control are those that eliminate disease and those that keep disease out. Everything else is mitigation. Teachers should be advocating better surveillance more than class size if they want to stay safe. @tdsb@TCDSB@board_peel@DurhamDSB