Data-driven phylodynamics: molecular evolution to epidemiology

该项目旨在揭示不同的环境和生态变量是如何导致传播性或毒性增加的病原体出现的，这些病原体被称为变种。这将通过对病毒基因组数据的广泛分析来实现。 该项目希望使用新的数据驱动的统计技术进行基因组分析，在病原体进化领域产生新的知识。 该项目的预期结果是对病原体变异出现的情况有了新的理解，并提供了一套统计工具来利用现有的大量基因组数据。 这应该会产生新的知识，有可能改善生物安全、农业和卫生，从而带来显著的好处。

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.