We (NHSX and Dept for Health and Social Care) have published our draft Data Strategy: #DataSavesLives.
Want to know what’s in it? Thread below:
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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
https://github.com/w3ctag/meetings/blob/gh-pages/2021/telcons/03-08-agenda.md
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!)
https://github.com/w3ctag/meetings/blob/gh-pages/2021/telcons/03-01-agenda.md
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
https://github.com/w3ctag/meetings/blob/gh-pages/2021/telcons/02-15-agenda.md
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 #NHSCOVID19app in this blog post from the Turing Institute’s @MarkBriers@twitter.com:
Demonstrating the impact of the NHS COVID-19 app
https://www.turing.ac.uk/blog/demonstrating-impact-nhs-covid-19-app
For raw data on #NHSCOVID19app downloads, contact tracing alerts, QR code posters, venue check-ins, COVID test results linked to the app, etc.
In CSV, published weekly:
More on the research evaluating the #NHSCOVID19app in this blog post from the Turing Institute’s @MarkBriers@twitter.com:
Demonstrating the impact of the NHS COVID-19 app
https://www.turing.ac.uk/blog/demonstrating-impact-nhs-covid-19-app
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)."
Technical documentation for the #NHSCOVID19app’s risk scoring algorithm:
#OpenSource code for the #NHSCOVID19app:
• System & architecture https://github.com/nhsx/covid19-app-system-public
• Android https://github.com/nhsx/covid-19-app-android-ag-public
• iOS https://github.com/nhsx/covid-19-app-ios-ag-public
Vulnerability Disclosures: https://hackerone.com/nhscovid19app?type=team
The #NHSCOVIDapp is now also interoperable — compatible with other contact tracing apps across the UK, protecting users who travel to Scotland, Jersey, Northern Ireland or Gibraltar.
• The #NHSCOVID19app 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.
• 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
• The #NHSCOVID19app 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%
New stats on the #NHSCOVID19app:
• 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
Starting day 2 of @tag face-to-face, working on expanding the
Ethical Web Principles
Architect for #openstandards & the Web. Advisor on tech policy. Co-founder of
@300_Seconds
. Data & security geek. Active in NHS, UK gov and W3C; views mine.