U. Stolz

Integrating Transmission Dynamics and Pathogen Evolution Through a Bayesian Approach

This paper introduces the Transmission Tree (TnT) model to improve understanding of epidemic dynamics by integrating pathogen gene sequences and clinical data through a Bayesian approach.

Joint inference of migration and reassortment patterns for viruses with segment genomes

This paper extends the structured coalescent to account for reassortment in segmented viruses, showing it leads to different estimates of population sizes, migration, and clock rates compared to models without reassortment.

Bayesian inference of reassortment networks reveals fitness benefits of reassortment in human influenza viruses

This study uses Bayesian inference to analyze reassortment networks in human influenza viruses, finding that reassortment events occur more frequently on fitter parts of the network.