There are many problems with below study, but what's striking is how many people sharing 'lockdowns do nothing' claims unquestioningly don't seem to realise that paper at the same time concludes mandated mask wearing has a substantial effect... 1/
Despite the headline claim about 'lockdown' being essentially based on a single study (because it's weighted so heavily in the estimates – see thread above), the authors note the mask result (which apparently contradicts their main conclusion) is based 'on only two studies'... 2/
'Lockdown' is one of those terms that has meant many different things to many different people during pandemic, from Wuhan-style stay at home measures to any restriction at all. Above study uses any mandatory measure to mean 'lockdown' in main analysis... 3/
But some measures, such as travel quarantine or bans, will count towards higher stringency even though they will have limited impact on curbing an already growing domestic epidemic... 4/
Any sensible attempt at evaluation of impact of control measures therefore needs to separate out different components and their relative timings, e.g. nature.com/articles/s4146… 5/
Finally, I think an important message from above paper is to not get dazzled by pages and pages of literature review and statistical tables – should always remember to ask whether analysis holds up to basic sense checks. 6/6

• • •

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

Keep Current with Adam Kucharski

Adam Kucharski 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 @AdamJKucharski

Jan 18
Suggestions to include spontaneous behavioural responses to a growing epidemic as default in scenario models might sound simple and obvious, but it's worth considering the assumptions involved... 1/
What magnitude of behaviour change in response to epidemic would you assume as a baseline scenario? And how would this relate to transmission reduction? 2/
Would you assume disruptive-but-ineffective change (e.g. avoiding low risk interactions and continuing to have high risk ones) or well-targeted change (e.g. using more rapid tests effectively)? 3/
Read 10 tweets
Jan 18
Below analysis was two years ago (bbc.co.uk/news/health-51…). As well as providing an early warning about the COVID threat, it’s a good illustration of what is often an under-appreciated point: if we want to make sense of epidemic data and dynamics in real-time, we need models… 1/
At the time, only 41 cases of 2019-nCoV (aka COVID-19) had been reported in Wuhan. But two exported cases had just been detected in Thailand and one in Japan. How plausible was it that there were really just 41 cases in Wuhan? 2/
To answer this, we need to outline a model: if there are X cases in Wuhan, and travellers leave to different destinations at given rates, how likely is it we'd observe those three exported cases? With this model outlined, we can then use it to infer X given the observed data. 3/
Read 8 tweets
Jan 12
Given below observation, an obvious question to ask is 'did any models consider a scenario that could give insight into what a Tier 4-like change in behaviour could look like?' 1/
If we look at scenarios that assume a prolonged return to behaviour levels seen in earlier steps of the reopening in England (e.g. Step 0, S1, S2 etc. below from 11 Dec: cmmid.github.io/topics/covid19…), models predict far lower levels of hospitalisations and deaths. 2/
Could summarise above scenarios as: 'If you want epidemic curve to look like that, this is the sort of virus characteristics and behaviour change that would be required - whether behaviour change comes from a policy, or pin hopes on spontaneous individual-level change' 3/
Read 11 tweets
Jan 10
Some thoughts on the evolutionary trajectory of SARS-CoV-2 so far, how it compares to other viruses, and what might happen next... 1/
For seasonal coronaviruses & flu, we see a pattern of 'antigenic turnover' over time - circulating viruses give rise to new variants that escape prior immunity against infection, immunity builds against these new variants, then these in turn spawn new variants... 2/
When infections evolve to escape immunity like this, we typically end up with an evolutionary tree that looks like a lopsided ladder as new variants sequentially replace their 'parent' variant lineages (below from: journals.plos.org/ploscompbiol/a…) 3/ Image
Read 12 tweets
Jan 6
Flu is often quoted as an example of 'living alongside' an infection (even though countries work hard to reduce disease burden via vaccination). But I think sexually transmitted infections are also an important example to consider... 1/
For STIs, preaching abstinence to prevent infection has gradually fallen out of favour (e.g. thelancet.com/journals/langl…). Instead, societies deal with ongoing circulation of these infections using other tools... 2/
Testing & informing partners gives people information on their infection status (and treatment can reduce duration of infectiousness). Contacts can be made less risky with protection (e.g. condoms). And susceptibility can be reduced through vaccination (or, for HIV, PrEP)... 3/
Read 4 tweets
Dec 22, 2021
Unfortunately, this oft-quoted Spectator tracker of COVID 'scenarios vs outcomes' seems at best muddled and at worst actively misleading. A thread on some weird comparisons - and how to do better critiques...
data.spectator.co.uk/category/sage-… 1/
First plot is comparison of scenarios for increased R values with later data. Crucially, these weren't predictions about what R would be (R estimate that week was 0.9-1.1, so pretty flat epidemic). Rather, report showed what could happen if R increased beyond current range... 2/
Not sure why they cut out the R=2 scenario from original plot (which would've made it obvious these were illustrative - assets.publishing.service.gov.uk/government/upl…). TBF SPI-M plot could have included horizontal line to illustrate what R=1 looks like, but don't need a model to draw a flat line... 3/
Read 21 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!

:(