I'm pro-vax, I'm pro-science, I don't like covid (who does?), and I don't want kids getting covid (who does?)

But vaccinating 5-11s is not a simple issue.

Here's the summary of the FDA's risk/benefit analysis is support of the EUA request for Pfizer for 5-11s in USA:

Thread
1/ Image
The FDA's risk-benefit analysis looked at different scenarios of covid incidence, from the lowest point in June 2021 (about 35 cases/Mpop/day) to the delta peak in September (about 500 cases/M/day).

(Report is here: fda.gov/media/153447/d…)
2/
For comparison, Vic cases are currently around 170/Mpop/day, and NSW around 28/Mpop/day, ACT about 25/Mpop/day.

NSW and ACT have lower cases than the low estimate in the analysis!

Of course, community cases in Qld, WA, NT, SA, Tas are near zero.

3/
The FDA assumed myocarditis/pericarditis risk equivalent to that in 12-17s. This may be an overestimate; the lower dose for 5-11s and a lower observed systemic reactogenicity in the trials suggest risk in 5-11s may be lower. But we don't know yet; the trials are too small.

4/
Here's the result of their model. Scenario 3 is the low-covid prevalence scenario (remember, higher than current in NSW and ACT).

5/ Image
Now, ICU and deaths aren't the only serious outcomes of covid. And ICU admission for covid and myocarditis aren't the same. And, long covid!

But short term, in that scenario, we *might* see ICU admits from vax exceeding ICU from covid. By a lot.

6/
The FDA makes the case that even in this scenario, benefits "may" outweigh the risks.

And with more data the model is likely to be proved conservative, and the benefits likely to clearly outweigh the risks. (We'll have that data soon from the US!)

7/ Image
To be clear: the risk of myocarditis/pericarditis from the vaccine is low - the conservative estimate is 34 ICU admissions per million vaccinated, and perhaps it will be much lower.

8/
The risk from covid to 5-11s is also low. In this age group around 3.8M cases have been reported in the US (actual cases higher), resulting in 146 deaths (38 per million).

And hospitalization risk per covid case far outweighs that of the vaccine.

9/
So if you're certain your kid will get covid, the vaccine is *vastly* preferable.

But there's another way to keep kids from getting covid, which is to keep adults from getting it.

10/
And that might just happen in Australia. Cases are low, and have been decreasing.

We might see a resurgence after restrictions are lifted, but then again we might not.

Best solution: we keep cases low for everyone. (I don't think endemicity in Australia is inevitable.)

11/
I'm not arguing against the vaccine. I live in Melbourne, If I had a kid 5-11 (mine is older), I'd get him vaccinated if it became available. In Sydney, perhaps the same. But in Brisbane? I'd wait for sure.

12/
Which leads to an important point.

IF the vaccine is approved for 5-11s, how should the gov't communicate about it? How should we communicate about it?

13/
*Unqualified* recommendation of the vaccine to 5-11s is going to lead to hospitalizations of children in areas with zero covid (and zero hospitalizations of children for covid). ICU of kids for myocarditis may outnumber those for covid even in states with community txn.

14/
Are we ready for that? It could be very damaging to the credibility of vaccines, and public health in general.

But communicating that the vaccine has risks, is, well, risky too!

15/
I don't know the solution. It's obviously longer than 280 characters. But "Vax ALL the kids NOW!" is too simple a message - I'd think twice about this kind of advocacy, at least until we know more.

Best solution, let's just make sure no one gets covid.

16/16

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More from @MichaelSFuhrer

2 Nov
It's early days, but it seems that something quite unexpected is happening here. Many restrictions have been lifted in Vic and NSW, and by and large nothing has happened.

1/🧵
By "nothing", I mean that (apart from a bump in cases in NSW largely outside greater Sydney), the trend of the effective reproductive number (R_eff) vs. vaccination has followed the same track as during restrictions.

2/🧵
The sloping lines on this plot are the expectations for vaccination effect on R_eff. Their y-intercepts are the R_eff expected with zero vaccination, which should vary with the level of public health and social measures (PHSMs).

3/🧵
Read 13 tweets
27 Oct
Here are the final observations for R_eff vs. effective vaccination rate during Vic and NSW lockdowns.

Vaccine effectiveness against transmission (VET) with standard errors:

NSW: VET = (86.1 ± 6.5)%
Vic: VET = (90.1 ± 16.2)%

Methods/notes/assumptions below.
1/ Image
I assume:

- 1-dose vaccination is 2/3 as effective as 2-dose (consistent with estimates used in Doherty Institute report)

- Vaccination becomes effective after two weeks and does not wane

- All of the population (ages, regions, etc.) is equal in terms of transmission.

2/
- Vaccination is the only effect on R_eff which is changing in time during this period (9/8/2021 to 22/10/2021 in Vic, 26/6/2021 to 11/10/2021 in NSW).

3/
Read 13 tweets
14 Oct
Well, this is quite extraordinary.

NSW and Vic show excellent evidence that vaccine effectiveness against onward transmission is high (>86%)!

1/ Image
I fit the R_eff vs vaccination data for NSW and Vic to a linear relationship, to get two parameters, the R_eff at zero vax, and the vax effectiveness against onward transmission (VET). The result:

NSW: R_eff(0 vax) = 1.65; VET = 86.1%
Vic: R_eff(0 vax) = 2.27; VET = 86.4%

2/
Solid lines are the Doherty model, linearized:

Doherty uses a transmission matrix which effectively weights some ages more than others in relevance to transmission. I assume vax affects everyone equally. I take a weighted average of VET = 89.7% for AZ (86%) and Pfizer (93%).

3/
Read 8 tweets
26 Sep
In a recent thread I looked at the performance of some low-covid countries against expectations from models of the expected R_eff achievable at different vaccination levels.

Today let’s examine how jurisdictions in Oceania are doing.

Thread.
1/🧵
The effective reproductive number R_eff controls whether infections grow (R_eff > 1) or decay (R_eff < 1). We therefore need to achieve R_eff < 1 to have control over the epidemic with our public health and social measures (PHSMs).

2/🧵
The most important question then, is:

👉"Under what conditions of PHSM and vaccination can we achieve R_eff < 1?"👈

I’ll be plotting R_eff as a function of the effective vaccination expressed as a percentage of total population.

3/🧵
Read 26 tweets
24 Sep
OK, here’s the promised comparison of the modeling for Ao/NZ from Nicholas Steyn, @MichaelPlankNZ, and @hendysh of @PunahaMatatini with the modelling done for the National Plan in Australia by @thedohertyinst.

Model is here:

Thread 1/🧵
tepunahamatatini.ac.nz/2021/09/23/mod…
First, comparing the Punaha Matatini and Doherty models is easy. They use very similar methodology. The contact matrix is the same, taken from this paper: journals.plos.org/ploscompbiol/a…

2/🧵
What that means is that in both models children and the elderly contribute relatively little to transmission, which is driven more by working-age people.

3/🧵
Read 24 tweets
22 Sep
The model from @TonyBlakely_PI of the Population Interventions Unit, released yesterday, comes to some surprising conclusions, for example that Stage 4 lockdowns would continue to be necessary even if 95% 16+ are vaccinated.

Thread
1/🧵
#COVID19Vic
…ninterventions.science.unimelb.edu.au/pandemic-trade…
I’ve attempted to summarize the differences between the model released yesterday by Melbourne Uni’s Population Interventions Unit (PIU) and the modelling by the Doherty Institute for the National Plan.

2/🧵
PIU provide a very nice web interface that allows the user to explore the effect of different scenarios on the model outcomes. I encourage you to have a look!

…ninterventions.science.unimelb.edu.au/pandemic-trade…

3/🧵
Read 26 tweets

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