Thanks to our collaboration with @bansallab.bsky.social, we examined the emergence of SARS-CoV-2 Alpha across US states, showing that its growth was correlated with immunity levels and contact-rate structure

We designed a network-based model to systematically analyse how host immunity, as well as the mean and standard deviation of contact rates, shape the relative growth of an emerging variant

Late advertisement of our new pre-print:

Contact structure and population immunity shape the selective advantage of emerging variants www.medrxiv.org/content/10.1...

As the COVID-19 pandemic emergency receded, we systematically reviewed modeling practices, data provisioning, and sharing among the modeling teams in the MOOD European consortium

Our pre-print is finally out

www.medrxiv.org/content/10.1...

Check out the thread by @esthervk.bsky.social below👇

We combined a dynamic model of the global multi-annual spread of influenza with phylogeographic inference. This made it possible to calibrate the model from genetic data and study the contribution of within-country transmission vs. international coupling on the global influenza dynamics

kicking off the new academic year at the master of Physics of Data at UNIPD with our traditional Autumn Workshop. Wonderfull to have with us @mtizzoni.bsky.social telling students about his journey from physics to computational sociology and epidemiology

Paper with the most colorful plots in my career! 🙃

Congrats to Benjamin Faucher, who defended his thesis last week!

Warmly thanks to Pierre-Yves Boëlle for the co-supervision, and to the jury members, Pascal Crépey, @flodebarre.bsky.social, and Harold Noël

new pre-print: Integrating dynamical modeling and phylogeographic inference to characterize global influenza circulation
www.medrxiv.org/content/10.1...
w/Francesco Parino, Emanuele Gustani-Buss, Trevor Bedford, Marc A Suchard, Nídia Sequeira Trovão, Andrew Rambaut, Vittoria Colizza, Philippe Lemey