Michelle Kendall
@mishkendall.bsky.social
590 followers 210 following 33 posts
Developing and communicating epidemiology / statistics for public health protection at the Pandemic Sciences Institute, University of Oxford. https://michellekendall.github.io/
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mishkendall.bsky.social
Christmas and the Euros were associated with big increases in spread, driven by synchronised (likely inter-generational) meet-ups across England and/or Wales. Excess transmissions on Euro match days accounted for 29% of all app-recorded transmissions during the month-long tournament scim.ag/86t
Science magazine cover showing England football fans in Wembley stadium, titled "Transmission Event: Digital contact tracing for COVID-19" Figure showing contacts and transmissions associated with England match days during the Euros
Reposted by Michelle Kendall
adamjkucharski.bsky.social
Want to build an interactive dashboard so others can explore epidemic scenarios? For COVID, @ngdavies.bsky.social spearheaded a great drag-and-drop approach, which made use of the JavaScript-based nature of RShiny... 1/
mishkendall.bsky.social
"I have long felt that the risks of sharing your data - the possibility that your information will fall into the hands of people who are up to no good - are given far more prominence that the potential rewards in the form of advances in medicine."
rorycj.bsky.social
open.substack.com/pub/rorycell... Health data - time to tell an upbeat story. I told the National Patient Data Day conference it was high time the Research community was a bit bolder in explaining the importance of sharing health data
Health Data - Time to Tell an Upbeat Story
The problem, I told the National Patient Data Day event in Leeds yesterday, could be summed up in one Guardian headline:
open.substack.com
Reposted by Michelle Kendall
rorycj.bsky.social
open.substack.com/pub/rorycell... This post about the importance of knowing the difference between truth tellers and myth makers in healthcare has already attracted a comment from a member of the “plandemic” community which nicely makes my point about the dangers of disinformation
The Truth About the Covid App
Myths about its cost and effectiveness stop us learning lessons
open.substack.com
mishkendall.bsky.social
Right? Maybe there are good reasons for the scheduling, and only a small minority of us working part/flexi hours and not using after school clubs. But if we had been considered even for a moment I would expect them to at least offer a recording, and I can’t see one mentioned…
mishkendall.bsky.social
🪧 What do we want? 🪧
Help balancing work and family life!

🪧 When do we want it? 🪧
School pick-up time!
Screenshot of details for a Royal Statistical Society event, titled "Balancing the Equation: Work, Family, and Career Growth in Statistics and Data Science". It is scheduled for Monday 3 March from 3 to 4pm.
mishkendall.bsky.social
@psioxford.bsky.social are hosting the International Pandemic Sciences Conference on 30 June – 1 July 2025 in Oxford and online, theme

'Getting ahead of the curve' 📈

Visit the website now to:
➡️ Register to attend
➡️ Submit an abstract
www.psi.ox.ac.uk/conference25

#episky #IDsky
Reposted by Michelle Kendall
christophraser.bsky.social
Kendall & Ferretti et al, Science: we showed anonymised data from app-based contact tracing enables analytics for epidemic monitoring that is virtually real-time, high-resolution & national scale. Nice Science mag front cover 👀 (Remember outdoors safer than indoors!)
045.medsci.ox.ac.uk/monitoring
Front cover of Science Magazine shows a large crowd of people watching a football match, with the title TRANSMISSION EVENT: Digital contact tracing for COVID-19 Example of app-based epidemic monitoring in England during the Euro 2020 football tournament. A graph shows how the daily number of close contact events and transmission events detected by the NHS COVID-19 app in England had sharp and increasing peaks on days of England football matches.
Reposted by Michelle Kendall
christophraser.bsky.social
👋 Hello World! Some of our papers this year ICYMI
Ferretti & Wymant et al, Nature: using 7 million digitally recorded COVID exposures, we found app-based contact tracing successfully measured the actual risk of transmission and we decomposed contributors to risk 045.medsci.ox.ac.uk/risk_measure...
Image shows how the probability of reported infection with SARS-CoV-2 among people notified by the NHS COVID-19 App increases with the risk score calculated by the app.
Reposted by Michelle Kendall
Reposted by Michelle Kendall
scientificdiscovery.dev
New article by me & Lucas at Our World in Data!

The COVID-19 pandemic is estimated to have killed more than 25 million people; it caused grief & suffering among their loved ones, impacted people's health worldwide & disrupted work & lifestyles.

We look back on the pandemic with 17 charts:
17 key charts to understand the COVID-19 pandemic
The pandemic has resulted in over twenty million deaths. In this article, we review the key insights from global data on COVID-19.
ourworldindata.org
mishkendall.bsky.social
Really handy! Thanks!
theo.io
I had a try at making this
bsky-follow-finder.theo.io

Enter your handle and it will find people followed by lots of the people you follow (but not you)
mishkendall.bsky.social
Shout out to everyone who worked on the NHS COVID-19 app, particularly my amazing academic collaborators Christophe Fraser, @chriswymant.bsky.social, Luca Ferretti, @daphnetsallis.bsky.social, @alicele.bsky.social and Xavier Didelot who all played a central role in the work I've described.
mishkendall.bsky.social
2. Motivations for pandemic preparedness. Digital contact tracing apps could:
a. play a key, low-cost role in mitigating future outbreaks.
b. gather valuable insights in real time, helping to evaluate and fine-tune our choices of public health interventions (towards minimising negative impacts).
mishkendall.bsky.social
To round up. Why is all this important?
1. Retrospective insights:
a. we've quantified the epidemiological effectiveness of digital contact tracing.
b. we've found out more about COVID-19: how and when it spread during the years the app was active, in lots of detail.
mishkendall.bsky.social
Further results and more details are of course available at the links provided, with discussion of subtleties, limitations etc. to unpack this big list of statements.

For easy-read versions with just a bit more detail, you may prefer the corresponding blog posts: michellekendall.github.io/blog/
mishkendall.bsky.social
Christmas and the Euros were associated with big increases in spread, driven by synchronised (likely inter-generational) meet-ups across England and/or Wales. Excess transmissions on Euro match days accounted for 29% of all app-recorded transmissions during the month-long tournament scim.ag/86t
Science magazine cover showing England football fans in Wembley stadium, titled "Transmission Event: Digital contact tracing for COVID-19" Figure showing contacts and transmissions associated with England match days during the Euros
mishkendall.bsky.social
Plus the data captured fine-grained insights into the drivers of transmission, including the effects of day-of-the-week, setting (longer vs more fleeting contact), and geographical region.
Figure showing relative daily fractions of contacts which were from households, recurring, single day or fleeting encounters, and the corresponding proportions of transmissions. Christmas Day stands out as having many more household contacts and fewer fleeting contacts than usual.
mishkendall.bsky.social
Analysis of app data provided a leading indicator of the reproduction number R, available at least 5 days earlier than other estimates. This provided valuable situational awareness for policy makers.
Figure showing various estimators of the reproduction number R over the course of the epidemic
mishkendall.bsky.social
Finally, app data provided near real-time insights into the drivers of the epidemic. We could see if a wave was driven by an increase in contact rates or infectiousness.
doi.org/10.1126/scie...
Figure showing the contributions of (a) contact rates and (b) probability of reported infection to (c) the reproduction number.
mishkendall.bsky.social
"Whereas most exposures were short (median 0.7 h, interquartile range 0.4–1.6), transmissions typically resulted from exposures lasting between 1 h and several days (median 6 h, interquartile range 1.4–28). Households accounted for about 6% of contacts but 40% of transmissions."
Figure showing how short, intermediate and long exposures all contribute to COVID transmission Figure caption, providing full details