David A. Kennedy

The paper uses long-read sequencing to analyze intrapopulation diversity in tandem repeat regions of Mareks disease virus strains, revealing phenotypic links to virulence and attenuation.

The paper shows that spillover rate is not predictive of host jump risk, but spillover novelty is a stronger predictor.

This paper develops a method to detect and quantify susceptibility heterogeneity using contact tracing data, showing it can reliably estimate heterogeneity and disease dynamics.

This study compares multiple consensus genomes of the same Marek's Disease Virus strain, revealing intrastrain variation and highlighting the need for multiple genomes to improve interstrain comparisons.