Pathogen Dynamics Unit

@pducambridge.bsky.social

Infectious Disease Research Unit at the University of Cambridge working on the emergence, spread, and control of pathogens. See more at: www.pdu.gen.cam.ac.uk Member starter pack: https://go.bsky.app/7PFMyLu

I hope all my fellow #shigellaphiles have 20 - 24 April 2026 blocked out in their diaries for @shigellameeting.bsky.social next year in Paris! In the meantime, check out (and join) our starter pack to start community building now 🧫

The Shigella Meeting@shigellameeting.bsky.social · 12mo ago

Why not follow our @shigellameeting.bsky.social starterpack of people who are speaking at and attending the conference - please message to be added to the starter pack if you're planning on coming or we haven't found you yet! go.bsky.app/6Vbwhjc

This one has been a long time coming: we delivered this through institutional changes and the team incubated two babies 👶 👶 alongside this phenomenal work dissecting the genomic epidemiology of a globally important Salmonella serovar causing iNTS disease worldwide! 🧬 🧫 💊

Kate Baker@ksbakes.bsky.social · last yr.

There are half a million cases of invasive non-Typhoidal Salmonella (iNTS) every year and while you might know S. Typhimurim and Enteritidis, you may not have heard of S. Panama 💩 🩸 🧫 💊 Check out our latest in @lancetmicrobe.bsky.social doi.org/10.1016/j.la... and the 🧵 below to find out more 1/n

Great way to start the year! A paper in @nature.com by our amazing @noemie presenting a way to use sequences to identify pathogen lineages, quantify their fitness, and identify potentially important genes/snps . Works across bugs, even with minimally and biased set of sequences.

Noémie Lefrancq@noemielefrancq.bsky.social · 2y ago

Incredibly excited to share that our manuscript was just published in @nature.com ! What a way to start the new year! 🎉 https://buff.ly/4gyYCzx We present phylowave, a framework that enables to learn the fitness dynamics of pathogens from phylogenies. 🧵 A thread... 1/n #IDSky #IDModelling

Great way to finish the year! Paper by our @huangat.bsky.social in @pnas.org showing that relying on seroconversions in cohorts will usually lead to horribly biased #dengue incidence estimates whereas models relying on age data from local hospital typically robust.

Angkana T. Huang (HAT)@huangat.bsky.social · 2y ago

No one best way to measure #infection risk in populations. Cross-sectional sero: weak temporal signal, CXR, waning as we know. Extra care needed for longitudinal #serology as Ab kinetics and assay noise can mess up estimates by a lot. Cases can be powerful! www.pnas.org/doi/10.1073/pnas.2411768121

Very excited to present our latest work as my first post on Bluesky. Thanks to all co-authors for their valuable contributions! A truly mammoth effort with many different fields of expertise coming together. Looking forward to working with all of you in future as well. #Microsky

Kate Baker@ksbakes.bsky.social · 2y ago

Certain sublineages of antimicrobial resistant bacteria dominate the surveillance landscape, but what causes them to become resistant? Check out our latest work in Shigella to find out and/or read the thread below www.medrxiv.org/content/10.1101/2024.10.27.24316207v2 1/n

Really excited to launch the new iteration of the Bakery as part of the Pathogen Dynamics Unit, co-led with @hsalje.bsky.social and @virologyhouldcroft.bsky.social Has been awesome working together this last year and really excited for things to come! Please follow and repost.

Pathogen Dynamics Unit@pducambridge.bsky.social · 2y ago

Hello world! After a year in the making, the Pathogen Dynamics Unit is ready to launch! Check out our website (pdu.gen.cam.ac.uk) and follow the team (bsky.app/profile/did:...) to keep up with the latest from our infectious disease supergroup based at @geneticscam.bsky.social