1 citations · 1 across the 2 of their papers we have counts for
3 papers
The Epi-LLM Framework: probing LLM behavioral priors through epidemiological agent-based models
Petra Ferencz, Ava Keeling, Tobias O'Keefe +4
Human behaviour during epidemics affects infectious disease dynamics, but quantifying this remains deeply challenging. Here we introduce the Epi-LLM framework: a novel integration…
Bayesian mixture models for phylogenetic source attribution from consensus sequences and time since infection estimates
Alexandra Blenkinsop, Lysandros Sofocleous, Francesco Di Lauro +8
In stopping the spread of infectious diseases, pathogen genomic data can be used to reconstruct transmission events and characterize population-level sources of infection. Most app…
Probabilistic predictions of SIS epidemics on networks based on population-level observations
Tanja Zerenner, Francesco Di Lauro, Masoumeh Dashti +2
We predict the future course of ongoing susceptible-infected-susceptible (SIS) epidemics on regular, Erdős-Rényi and Barabási-Albert networks. It is known that the contact network…