Popping up from mat leave 👋👶 to share our new paper in @ScienceMagazine. Anonymised data from the @NHSCOVID19app provided rich insights into the drivers of the epidemic, at remarkable speed. ➡️ Quick read: https://t.co/LtZcW9Qa2k ➡️ Full details: https://t.co/4pw5C3W0LL

I'm back from maternity leave 👋 Looking forward to catching up on the science I've been missing. And hot drinks!

Great to have @adamjkucharski open the new @PSIOxford seminar series. Here discussing our decomposition of R(t) into contributing factors & other epi monitoring through the covid app, led by @mishkendall + @LucaFerrettiEvo, out last month ICYMI https://t.co/9LAQznlWpk

Data from digital contact tracing, using examples from the NHS #COVID19 app for England and Wales, has revealed epidemic dynamics in unprecedented detail. Learn more in Science: https://t.co/ERggwN837K

Thanks! It was amazing and sometimes alarming watching the data rolling in. Great to be able to share the results of our (now a bit more refined) analyses.

@DrChrisSmith @NakedScientists With thanks and congratulations again to all authors - what a team! @LucaFerrettiEvo @ChrisWymant @DaphneTsallis @_JamesPetrie_ @Di_SPACE_Lauro @alice_ledda_ @XavierDidelot @ChristoPhraser & others from across @PSIOxford @bdi_oxford @NDMOxford @uniofwarwick @UKHSA

For more details: If you like an easy read there's this blog post: https://t.co/LtZcW9Qa2k If you prefer a discussion on a podcast, hear me with @DrChrisSmith on @NakedScientists from a few weeks ago (first 10 mins): https://t.co/hnDjd2krV1

Delighted to see our research featured on the cover of @ScienceMagazine this week! Current issue: https://t.co/kD1hcAVJkW Our paper: https://t.co/96y07L6UB6 Photo: Catherine Ivill - UEFA/UEFA via Getty Images

Understanding the drivers of respiratory pathogen spread is challenging, particularly in a timely manner during an ongoing epidemic. • Insights from the NHS COVID-19 app for England and Wales and shared with health authorities in almost real time. https://t.co/Vl42waYVrv

Crucial thread below. Several countries now have digital tools at the heart of their pandemic strategies, if they didn’t already (spoiler: these are countries that did relatively well against COVID). Meanwhile, many European countries seem to be taking a ‘play it by ear until

Come on, England! 🏴󠁧󠁢󠁥󠁮󠁧󠁿 Amazing to think how things have changed since 2021! #EURO2024  | #ESPENG Full details: https://t.co/4199qQIcrl https://t.co/4pw5C3W0LL

Thank you, and thanks to @NakedScientists for the thoughtful questions and the opportunity to discuss these exciting findings in the detail they deserve!

You can listen here to me talking to @DrChrisSmith about how anonymised data from the NHS COVID-19 app provided fast, detailed insights into the drivers of the epidemic. Full paper (first release) in @ScienceMagazine here:

News podcast: Michelle Kendall @uniofwarwick on Covid-19 app data; @hooker_helen @UniRdg_Met on #hurricanes; David Willetts @resfoundation on Patrick Vallance; @dosh @ucl and Oliver Hauser @UniofExeter on AI; and Ben Allanach @Cambridge_Uni on physics. https://t.co/IcFf47mOzL

Sometimes peer review makes you feel good. Thank you, Reviewer 2.

When decisions must be taken quickly, evidence must be available quickly. Digital contact tracing can help this real-time aspect of public health 👩‍⚕️⏱️

New in @ScienceMagazine: app-based contact tracing for covid 🤒🤳📲 as well as reducing transmission, generated data for epidemic monitoring & analysis in real-time with unprecedented resolution. Example below: sharp spikes in transmission in England during last Euros, 2021 🇪🇺⚽

📢 NEWS: Researchers from @UniofOxford @uniofwarwick & @UKHSA use @NHSCOVID19app data to quantify the impact of seasonal festivals & events like #EUROS on COVID-19 transmission. Paper in @ScienceMagazine 👉 https://t.co/m6O1hvTLiq Read more 👉 https://t.co/lS62zhs0Bw

The repeating wave patterns show how types of contact vary by day of the week. No prizes for spotting Christmas day! 🎄🏚 🤒 🤧 😳 🏚🎄

Household contacts (more than 8 hours per day) accounted for only 6% of contacts but 39% of transmission events, whereas fleeting interactions (less than half an hour) accounted for 48% of contacts but only 12% of transmission events.

That figure shows daily analysis of the relative contributions of different "settings" for epidemic spread, April 2021 - March 2022. Upper = types of contact for the average person with COVID-19, lower = COVID-19 transmissions detected by the app.