Alexander Zarebski
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aezarebski.bsky.social
Alexander Zarebski
@aezarebski.bsky.social
Senior Research Associate, MRC Biostatistics Unit, University of Cambridge. https://aezarebski.github.io/
Thanks again for the invitation and the lively discussion
July 10, 2025 at 7:42 AM
Sounds like a fun conference, bet there are a ton of great speakers
June 6, 2025 at 12:05 PM
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!)
March 25, 2025 at 1:47 PM
Side effect of report marking?
February 11, 2025 at 8:42 AM
Yep, couldn't resist responding with the reverse. Both are interesting reads though.
February 11, 2025 at 8:39 AM
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...
Including frameworks of public health ethics in computational modelling of infectious disease interventions
Decisions on public health interventions to control infectious disease are often informed by computational models. Interpreting the predicted outcomes of a public health decision requires not only hig...
doi.org
February 11, 2025 at 8:33 AM
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.
February 7, 2025 at 12:05 PM
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! 💬
February 6, 2025 at 6:00 PM
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.
February 6, 2025 at 6:00 PM
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 💉
February 6, 2025 at 5:59 PM
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.🔬
February 6, 2025 at 5:59 PM
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?”🤒😷
February 6, 2025 at 5:58 PM