Prompted by several posts and threads, I am going to outline what I view as the "A-PAC Approach"

A-PAC refers to Asia-Pacfic and Atlantic Canada: 🇦🇺(25M), 🇨🇳(1.39B), 🇯🇵(126M), 🇳🇿 (5M), 🇰🇷(52M), 🇹🇼(24M), 🇹🇭(69M), and 🇻🇳(96M). Atlantic 🇨🇦 has 4 provinces ((NS, NB, NFLD, PEI, 2.4M)
These countries/provinces have varying geography, population size and density, degrees of democratic norms; some are islands, but others share sizable borders. Several have used a cordon sanitaire (i.e. making a region an island, even if it isn't one) to create an "island".
The A-PAC Approach consists of 6 principles:
1. Aim for really low number of new cases and zero transmission
2. Ensure any new people (esp. cases) coming in from outside are quarantined
3. Aggressive test-trace-isolate
4. Strong public health leadership
5. Consistent and clear communication
6. An accepting and compliant public

You cannot choose 6, although you can certainly influence it by being clear on your strategy and focusing on Principle 5.
The Examples of the rest of Canada, the US, and Europe (ExCUSE) are the failing alternatives.

Whereas A-PAC economies are recovering (some even thriving), their popn is recovering, and travel resuming, EXCUSE economies will continue locking down repeatedly.
For most ExCUSE economies, it is too late in the second wave to adopt avoid lockdown with the A-PAC Approach. But its not too soon for them to start focusing on an A-PAC Approach. It will need:
1. PH community coming on board and speak w/ singular voice
2. Politicians buying in
The A-PAC Approach barely bothers with predictive modelling of health care strain—because it is never expected to occur—and business owners have relative predictability.

ExCUSE economies constantly fret with instability, because the approach is unstable.
The A-PAC Approach has been proven to work repeatedly. The ExCUSE economies/advocates CANNOT POINT TO A SINGLE WINNING EXAMPLE, and yet they find reason after reason to not adopt the A-PAC Approach (prove me wrong).
One last important thing: people have been obsessed w/ keeping R<1. The problem: this assumes that you have good surveillance. We know that a PCR swab-based strategy is not surveillance. So we cannot rely on looking at R—it will always mislead w/o real surveillance. It also ...
(and this is the key) MISLEADS PSYCHOLOGICALLY. When numbers appear low, and growing slowly w/o healthcare strain (like in most ExCUSE economies in the summer), there is no urgency for governments to act. This is the BIGGEST FLAW with this approach—nobody acted when they should.
If you are somewhere locked down, or are worried about an impending lockdown, look back to the 6 principles of the A-PAC Approach and find a good reason why it isn't being followed. I think all you will find is you are an ExCUSE.

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More from @ASPphysician

29 Oct
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.
Read 9 tweets
22 Oct
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.
Read 9 tweets
4 Oct
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
Read 11 tweets
3 Oct
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. . So not only no gas gauge, but we also don't have a map for where we are going.
Read 10 tweets
16 Sep
This reflects entirely how a rational population would act: disease acquisition inversely proportional to risk.

Challenge: can we convince those at low personal risk to reduce risk-taking behaviour? Options below:
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.
Read 14 tweets
11 Sep
This is real and is not related to school transmission.

Let's look at what Ontario COULD, SHOULDN'T, and SHOULD do (thread):
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.
Read 9 tweets

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