Went into the centre of town yesterday. Remember book stores? They’re still there! It was wonderful.

I went for a walk with a good friend who I hadn’t seen since before the pandemic started. We stopped by the COVID memorial wall, showing heart after heart after heart, each recognising someone who has died from this awful disease. It was… well, “striking” doesn’t begin to cover it.

A project for this rainy bank holiday. An arduino robot! (Still in need of debugging.)

We went for a walk today, and everything was green and GLORIOUS.

This week's @tag meetings included:

•Updating the multi-screen window placement API, for ex: slides on one screen & speaker notes on other
•App history, so that forward & back buttons in a web app can navigate within the app instead of away from it

github.com/w3ctag/meetings/blo

This week, we focused on our design principles in our @tag mtgs:

• Fast-evolving crypto algorithms in slower-evolving features
• Using more bikeshed syntax. (Yes, our spec-generating tool is called bikeshed. It matters what shade of blue that is!)

github.com/w3ctag/meetings/blo

This wek’s @tag meetings included:

• WebXR hit testing, so you can cast a ray into the real world & return a list of intersection points for that ray against whatever world understanding the underlying system gathers

github.com/w3ctag/meetings/blo

With apologies — I should have said that this blog post is a joint effort from @markbriers@twitter.com, @cholmesuk@twitter.com and @ChristoPhraser@twitter.com.

RT @hadleybeeman More on the research evaluating the in this blog post from the Turing Institute’s @MarkBriers@twitter.com:

Demonstrating the impact of the NHS COVID-19 app

turing.ac.uk/blog/demonstratin

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For raw data on downloads, contact tracing alerts, QR code posters, venue check-ins, COVID test results linked to the app, etc.

In CSV, published weekly:

faq.covid19.nhs.uk/article/KA-

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More on the research evaluating the in this blog post from the Turing Institute’s @MarkBriers@twitter.com:

Demonstrating the impact of the NHS COVID-19 app

turing.ac.uk/blog/demonstratin

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Paper: The epidemiological impact of the NHS COVID-19 App. 2021. Wymant, Ferretti et al.

"We estimated that for every 1% increase in app users, the number of infections can be reduced by 0.8% (from modelling) or 2.3% (from statistical analysis)."

github.com/BDI-pathogens/covid

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The is now also interoperable — compatible with other contact tracing apps across the UK, protecting users who travel to Scotland, Jersey, Northern Ireland or Gibraltar.

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• The is continually improved; has had a series of updates since its launch in September 2020, including an update to the risk scoring algorithm to utilise Google/Apple's API Mode 2 which better estimates distance based on Bluetooth signal strength.

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• Users have checked into a venue over 103 million times

• 253 venues have been identified ‘at risk’ after an outbreak since 10 Dec, triggering ‘warn & inform’ alerts to app users who had checked into those venues. A ‘w&i’ notification is different to an instruction to isolate

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• The has been downloaded 21.63 million times, representing 56% of the eligible population (age 16+ with a smartphone)

• Research by scientists at @TuringInst & @UniofOxford shows for every 1% ⬆️ in app users, the # of coronavirus cases in the population ⬇️ 2.3%

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New stats on the :

• Approx 600,000 cases have been prevented by the app since Sept
• Over 1.7 million app users across England & Wales have been advised to isolate by the app after close contact with someone who goes on to test positive

gov.uk/government/news/nhs-cov

Starting day 2 of @tag face-to-face, working on expanding the

Ethical Web Principles

w3ctag.github.io/ethical-web-p

with @sundress, @rhiaro, @leaverou@twitter.com and @torgo

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