Glenn Marion

iPAR: A framework for modelling and inferring information about disease spread when the populations at risk are unknown

The paper introduces iPAR, a framework for estimating spatial disease dynamics without knowing the population at risk, and applies it to an ASF outbreak in Estonia.

The utility of whole-genome sequencing to identify likely transmission pairs for pathogens with slow and variable evolution

This study evaluates how whole-genome sequencing helps identify transmission pairs for M. bovis, a pathogen with slow evolution, by combining genomic data with epidemiological models.

Optimal experimental designs for estimating genetic and non-genetic effects underlying infectious disease transmission

The paper develops optimal experimental designs and a software tool to estimate SNP effects on infectious disease transmission traits like susceptibility, infectivity, and recoverability.