Thanks again for the invitation and the lively discussion

Sounds like a fun conference, bet there are a ton of great speakers

@aezarebski.bsky.social will give 2 talks in 🇨🇭:

🔹 Bern – 31/3 15:15
🔹 Basel – 16/4, 11:15

💡 Talk: Narrow AI for Phylodynamics

This visit is supported by SIB’s Speaker Roadshow Initiative, which coordinates multiple talks at partner institutions and promotes sustainable travel.

A huge thanks to Louis du Plessis (ETH) and Claudia Bank's lab (UoBern) for this awesome invitation, and the @sib.swiss for their support via the Roadshow Initiative. (Which is really an great idea!)

We are advertising a PhD position! The project will develop mathematical models for influenza infection within the host, incorporating the effects of antiviral treatment. Domestic and international applicants welcome.

Lots of studies in epidemiology rely on people being able to assess age of others - please participate in this survey to help get better error models for such data!

warwick.co1.qualtrics.com/jfe/form/SV_...

Side effect of report marking?

Yep, couldn't resist responding with the reverse. Both are interesting reads though.

This one is interesting too:

Estimating the duration of RT-PCR positivity for SARS-CoV-2 from doubly interval censored data with undetected infections
doi.org/10.48550/arX...

And a bonus post to share links to my coauthors (because apparently I can't use bluesky search properly...)

@nefeltellioglu.bsky.social who kept this project alive and kicking, and @camzachreson.bsky.social who masterminded it and you should follow if you're interested in this topic.

While not exhaustive, our results suggest (for COVID-19) outcome equity can co-exist with utilitarian minimization of disease burden. We hope to expand our approach to other public health values (e.g. autonomy, privacy) and other interventions.

I'd love to hear your thoughts! 💬

In the aftermath of the COVID-19 pandemic, infectious disease modelling is taking a hard look at health equity. We did this work to help understand the potential impacts of considering equity.

Exploring different weightings on equity and aggregate burden in a model of COVID-19 in Melbourne. We found a trade-off in equity of vaccine-induced burden, and total burden. Importantly, there was no trade-off between total burden and equity of disease burden 💉

We considered: total days spent in hospital due to infection, and rare vaccine side effects; how fairly the infection burden shared; and how fairly vaccination burden is shared. The triangle shows possible weightings, much of the literature focuses on aggregate burden.🔬

We look at optimizing public health interventions while prioritizing both equity and clinical burden. Basically “what level of vaccination should you aim for in the different age groups if they have different risk profiles?”🤒😷

A huge thank you to Nefel Tellioglu, Jessica Stockdale, Julie Spencer, Wasiur Rahman Khuda Bukhsh, @joelcmiller.bsky.social and Cameron Zachreson for including me on this @matrix-inst.bsky.social project we just preprinted results from

t.co/9ioaiNWMQa 🤓

[Please share] We're hiring a postdoc in Mathematical Biology at The University of Melbourne! Come and work with us on a collaborative project looking at how to predict biological behaviour across multiple scales. Feel free to reach out, details are here: jobs.unimelb.edu.au/en/job/91913...

@gerrythill.bsky.social you're such a trend setter!