A Bayesian phylogeographic reconstruction of the early H1N1 spread.
“This helps reveal hidden information about the spatial spread of the virus,” said Marc Suchard, a University of California at Los Angeles biomathematician and co-author of the analysis, which was published last week in Public Library of Science Currents.
The researchers ran 242 viral genomes, collected around the world between late March and mid-July, through algorithms that determined their most likely evolutionary path. From hundreds of trillions of possible configurations, the program arrived at the model above.
Found at Wired.com