Michelle Kendall
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mishkendall.bsky.social
Michelle Kendall
@mishkendall.bsky.social
Researching and communicating infectious disease epidemiology for public health protection at the Pandemic Sciences Institute, University of Oxford.

https://michellekendall.github.io/
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…
February 27, 2025 at 12:59 PM
Reposted by Michelle Kendall
Hinch & Panovska‑Griffiths et al, Nature Sci Rep: we quantified how variable mpox case ascertainment delays over time in the UK distorted the relationship between growing case counts and the true epidemic growth
www.nature.com/articles/s41...
Quantification of the time-varying epidemic growth rate and of the delays between symptom onset and presenting to healthcare for the mpox epidemic in the UK in 2022 - Scientific Reports
Scientific Reports - Quantification of the time-varying epidemic growth rate and of the delays between symptom onset and presenting to healthcare for the mpox epidemic in the UK in 2022
www.nature.com
December 16, 2024 at 8:57 AM
Reposted by Michelle Kendall
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
December 16, 2024 at 8:57 AM
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.
November 11, 2024 at 4:32 PM
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).
November 11, 2024 at 4:32 PM
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.
November 11, 2024 at 4:32 PM
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/
November 11, 2024 at 4:32 PM
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
November 11, 2024 at 4:32 PM
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.
November 11, 2024 at 4:32 PM
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.
November 11, 2024 at 4:32 PM