3 citations · 4 across the 4 of their papers we have counts for
4 papers
GENIE: Generative Neural Inference for Epidemics
Laura M. Guzmán-Rincón, George R. E. Bradley, Joel Kandiah +5
The SARS-CoV-2 pandemic highlighted the ongoing risk infectious diseases pose to society and the value of reliable information on the likely future burden. When forecasting an epid…
Amortized Phylodynamic Inference with Neural Bayes Estimators and Recursive Neural Networks
Alexander E. Zarebski, Thomas Williams, Louis du Plessis
Phylodynamics is used to estimate epidemic dynamics from phylogenetic trees or genomic sequences of pathogens, but the likelihood calculations needed can be challenging for complex…
Investigation of P. Vivax Elimination via Mass Drug Administration
Md Nurul Anwar, James M. McCaw, Alexander E. Zarebski +2
Plasmodium vivax is the most geographically widespread malaria parasite due to its ability to remain dormant (as a hypnozoite) in the human liver and subsequently reactivate. Given…
A hybrid framework for compartmental models enabling simulation-based inference
Domenic P. J. Germano, Alexander E. Zarebski, Sophie Hautphenne +3
Multi-scale systems often exhibit a combination of stochastic and deterministic dynamics. In compartmental models, low occupancy compartments tend to exhibit stochastic dynamics wh…