Phylogeographic reconstruction using air transportation data and its application to the 2009 H1N1 influenza A pandemic.

ABSTRACT: Influenza A viruses cause seasonal epidemics and occasional pandemics in the human population. While the worldwide circulation of seasonal influenza is at least partly understood, the exact migration patterns between countries, states or cities are not well studied. Here, we use the Sankoff algorithm for parsimonious phylogeographic reconstruction together with effective distances based on a worldwide air transportation network. By first simulating geographic spread and then phylogenetic trees and genetic sequences, we confirmed that reconstructions with effective distances inferred phylogeographic spread more accurately than reconstructions with geographic distances and Bayesian reconstructions with BEAST that do not use any distance information, and led to comparable results to the Bayes

SUBMITTER: Reimering S 

PROVIDER: S-EPMC7032730 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature