Data-driven phylodynamics: molecular evolution to epidemiology

点击翻译按钮获取中文摘要

This project aims to uncover how different environmental and ecological variables drive the emergence of pathogens with increased transmissibility or virulence, known as variants. This will be achieved through extensive analyses of virus genome data. This project expects to generate new knowledge in the field of pathogen evolution using novel data-driven statistical techniques for genomic analyses. Expected outcomes of this project are a new understanding of the circumstances under which pathogen variants emerge and a suite of statistical tools to exploit the vast genome data available. This should provide significant benefits by generating new knowledge with the potential to improve biosecurity, agriculture, and heath.