Sarah Rasmussen Profile picture
Sep 25, 2020 23 tweets 7 min read Read on X
School closures + bad science (THREAD)

Remember that 6 Apr Lancet C&AH systematic review on school closures--with that media-amplified "2-4%" statistic--by a UCL team led by RCPCH president + SAGE member Russell Viner?

It has some serious problems. 1/
thelancet.com/journals/lanch…
Why does this still matter?

1. Viner's Review continues to be cited. A lot.

2. School closure was a first-aid response. Transitioning to long-term solutions calls for reexamining the science.

3. Serious enough cases of bad science raise concerns about the source. 2/
My first alarm bell?

The Review Summary's claim that "school closures alone would prevent only 2-4% of deaths" is a badly mis-contextualised statistic from

--wait for it--

the very Imperial College study [31] that prompted UK govt to close schools. 3/
imperial.ac.uk/media/imperial…
Viner's Review entirely omits the IC study's main predictions. Like that school closures would prevent 2-fold exceeding ICU bed capacity, with COVID only taking up a fraction of ICU beds.

Fig 3B (Red = ICU bed capacity, green vs brown = measures w/ vs w/o school closures.) 4/
Also omitted? The Summary never hints that all 5 of the Review's other included COVID-19 studies unanimously support school closures.

Still... most of the Review's included studies are used for their reference to the 2003 SARS epidemic.

That's where the real problems begin. 5/
The Review's selection criteria insist on "quantitative studies" that "model or empirically evaluate" the impact of school-related measures on coronavirus spread.

But for 5 of their 9 included SARS studies, not a single datum they use has any bearing on the spread of SARS. 6/
1 article is a 2008 qualitative survey of Canadian nurses on concerns about future epidemics.

Viner twice implies this article discussed nurse hardship caused by SARS 2003 school closures.

But that's false: with only 250 SARS cases, Canada didn't even *use* school closures. 7/
For 2+3 [34,35], Viner *solely* uses remarks about a Singapore school temperature-screening programme not finding any SARS.

Except: the epidemic was already over by then!

School temp screening started 30 Apr. Last 3 cases ever of that Singapore epi were 25&27 Apr + 5 May. 8/
The above-right chart isn't cited in the Review. In fact, no articles that provide or analyse SARS case-count timelines for Toronto/Canada, Singapore, Taiwan, or Hong Kong are cited in Viner's Review, even for reference.

Easy to find, tho. Like this: 9/
ncbi.nlm.nih.gov/books/NBK92467/
For 4th article, Viner only reports that schools and activities closed in Singapore “for 3 weeks from Mar 27" for an outbreak "from late Feb to May 2003.”

Except: Feb+May had only 4 cases total. Closures started at height of the epi, +ended with avg daily case counts at 2-3. 10/
5th [24] is a 2014 Taiwanese systematic review on planning for future epidemics.

Every single SARS-related statement Viner's Review makes about this article is false.

In fact, this article never spoke of *anything* related to schools from *during* the 2003 SARS epidemic. 11/
All 5 of these articles meet multiple exclusion criteria, often even for genre. For instance [34]+[24] are (allegedly-excluded) systematic reviews. And the Review's only use of [34] is duplicated by [35], which was cited by [34].

Even so... the problems have only begun. 12/
6th [38] is an airflow-modelling study predicting infection rate by droplets from 1 SARS-contagious person in a hospital, school room, or airplane, distinguished only by ventilation +occupancy rates.

More relevant than prior SARS studies, but still has problems (see inset). 13/
7+8 [36,37], on Beijing, finally use SARS outbreak data!

The Review correctly reports these studies' scepticism on the utility of school closure,

but fails to mention their scepticism on:
closure of public places, travel checkpoint screening, +quarantine of low-risk cases. 14/
In fact, they predicted healthcare facility improvements + high-risk contact tracing alone were sufficient to stop SARS.

How could this be?

Because SARS DIDN'T HAVE A/PRE-SYMPTOMATIC TRANSMISSION.

SARS was completely eradicated before exceeding 8500 cases ever, worldwide. 15/
Consider: Beijing hosted 30% of the world’s SARS cases, with 90% concentrated in one month.

The avg of the 7 *highest* SARS daily case counts for Beijing was still *lower* per population than the UK's LOWEST EVER 7-day-moving-avg COVID-19 daily case count since late March. 16/
This transmission distinction for SARS v COVID was raised in a UK SAGE document in January and confirmed in multiple high-impact peer-reviewed studies in February.

The Review somehow skips over its cited articles' frequent allusions to this aspect of SARS.

But I digress. 17/
9th [39] is an Australian modelling study supporting school closures, which the Review does its best to de-emphasise.

OTOH, the Review entirely omits the main prediction--a 70% reduction in infections--from a conveniently-excluded, but cited, class cancellation study [45]. 18/
It also omits 2 pro-school-closures COVID-19 studies from February that contrast control measures with vs without school closures,

despite implying no such studies exist, and despite these studies fitting selection criteria. 19/
doi.org/10.1101/2020.0…
doi.org/10.1101/2020.0…
It also inserts a defacto 2nd systematic review on influenza into the Discussion section, but without stating selection criteria, and without providing crucial context, without which statistics are destined to be misinterpreted in a way that biases against school closures. 20/
It also alters data from a Hong Kong study [27], changing the stated primary source of pediatric SARS infection

from hospital spread plus an infected aerosol from leaky plumbing at the Amoy Gardens apartment complex

to spread "almost entirely through family settings." 21/
Meanwhile, Viner, still on SAGE, is fighting against masks in schools 22/
Science this problematic requires action.
/ENDS

• • •

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

Keep Current with Sarah Rasmussen

Sarah Rasmussen 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!

PDF

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 @SarahDRasmussen

Dec 11, 2021
New @UKHSA Omicron update, including new growth estimates.

From data up to 5-6 Dec, they estimated a .35 continuous daily growth advantage of Omicron over Delta in England (so times exp(.35) = 1.42 per day). That would mean doubling every 2.0 days. 1/
assets.publishing.service.gov.uk/government/upl…
To estimate this growth advantage,…

Their step 1 was estimating what proportion of S-gene dropout cases in England was due to Omicron over time, using genomic sequencing to check some of their SGTF samples.

It wasn’t until ~28 Nov that most SGTF in England was Omicron. 2/
And indeed, if you start with @UKHSA SGTF proportion data from England (numerically extracted from a graph shared by @AlastairGrant4), and you then fit a line to log odds of SGTF for the period from 28 Nov to 5 Dec, you get a slope of .35/day for continuous growth advantage. 3/
Read 13 tweets
Dec 4, 2021
Some preliminary transmission-advantage estimates (by others) for Omicron in South Africa and England 🧵

I’ll try to give an accessible account of some main methodologies for estimating total transmission advantage, some key limitations, and preliminary results. 1/
Total transmission advantage, the fraction
R_t(new variant)/R_t(old variant),
is roughly the factor by which
Omicron_new_daily_cases/Delta_new_daily_cases
changes during one generation interval (GI). (Often 5 days is used for Covid GI. Can also depend some on variant.) 2/
Eg, England had
R_t(alpha)/R_t(wild) ≈ 1.5,
R_t(delta)/R_t(alpha) ≈ 1.7.
Other countries saw results reasonably similar to these.

For Omicron, however, we might see larger variation by country, depending on its differences in response to different sources of immunity. 3/
Read 27 tweets
Oct 11, 2021
If there’s one thing worse than hoarding vaccines, it’s hoarding AND wasting them.

If jabs are rolled out so slowly that the target group nearly all get infected pre-jab, that’s a big decrease in overall vaccine benefit—a serious waste.

(Results in for England 12-15 timing!) 🧵
Out of the 811 non-“see results” respondents about their own 12-15 school in England,

9% (75) jabbed in Sept,
31% (250) scheduled for Oct pre half-term,
60% (486) scheduled for later, or not scheduled at all.

(A few wrote in to revise votes, but not enough to change %s) 2/
But even for scheduled roll-outs, for the past week alone (+ 2 from end Sept), 10 wrote that their school’s 12-15 covid jabs that week had either been cancelled last-minute or had only been able to jab a limited number, eg only Years 10-11, due to inadequate staff or supplies. 3/
Read 13 tweets
Sep 11, 2021
In case anecdote is helpful re this NIMS unvaxxed count,

during my 2020-2021 visit to Princeton, the subletter of our 2-bed Cambridge UK flat received vax invitations for *4 adults* besides herself—2 for folks who’d moved out more than 10 yrs ago, and 2 for my own household. 1/
For the 2 who’d moved out > a decade ago, we asked her to send back the envelope and tick “not at this address.”

But we’ve repeatedly sent back their NHS post ticked “not at this address” for years with no effect, so I don’t know if that actually removed them from any list. 2/
There’s no way to use the invite letter’s suggested website to announce absence from the UK, and you can’t phone 119 from outside the UK. Besides, if you take the invite literally, it says ignore the letter if you already have an appointment to be vaxxed, which we did (in US). 3/
Read 6 tweets
Apr 20, 2021
Mass vaccination is key, but by far the most powerful NON-pharmaceutical intervention (NPI) is for infectious people to isolate.

I know this is contentious, but I think mass rapid testing can substantially improve infectious isolation, IF IMPLEMENTED EFFECTIVELY. (🧵) 1/
I’ve seen a lot of negative UK sentiment on lateral flow device (LFD) tests.

The thing is, being anti-LFD is a bit like being anti-screwdriver.

In some cases a screwdriver is useless, in others it’s extremely helpful, and in yet others we can impact how useful it is. 2/
I’ve also seen a lot of specific concerns raised over “false negative” rates, but that’s a little like complaining that a screwdriver is not a hammer.

LFD is NOT the best test for personal medical diagnostic purposes. For that, you want a hammer (PCR test). 3/
Read 25 tweets
Mar 22, 2021
My NOT PEER-REVIEWED preprint on B.1.1.7 and age is out.
medrxiv.org/content/10.110…

TL;DR:
0-19-year-olds tend to make up a larger share of total cases for B.1.1.7 than for wild type, and likely experience a larger relative increase in infectiousness than other age groups. 1/
This finding isn’t really new. Here’s Figure 4B from an earlier Imperial College modelling group paper
medrxiv.org/content/10.110…

It’s just these earlier findings were later partly discounted as likely due to environmental effects alone. My paper argues against the latter. 2/
The idea is down to something called “dominant eigenvectors”:

For a linear operation satisfying certain conditions, if you act on a system repeatedly, the system converges to a particular configuration. In this case, the configuration is a certain age-distribution of cases. 3/
Read 25 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

Don't want to be a Premium member but still want to support us?

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

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(