Bayesian Phylogeographic Analysis Incorporating Predictors and Individual Travel Histories in BEAST.

ABSTRACT: Advances in sequencing technologies have tremendously reduced the time and costs associated with sequence generation, making genomic data an important asset for routine public health practices. Within this context, phylogenetic and phylogeographic inference has become a popular method to study disease transmission. In a Bayesian context, these approaches have the benefit of accommodating phylogenetic uncertainty, and popular implementations provide the possibility to parameterize the transition rates between locations as a function of epidemiological and ecological data to reconstruct spatial spread while simultaneously identifying the main factors impacting the spatial spread dynamics. Recent developments enable researchers to make use of travel history data of infected individuals in the

SUBMITTER: Hong SL 

PROVIDER: S-EPMC8672455 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature