A Bayesian inference framework to reconstruct transmission trees using epidemiological and genetic data.

The accurate identification of the route of transmission taken by an infectious agent through a host population is critical to understanding its epidemiology and informing measures for its control. However, reconstruction of transmission routes during an epidemic is often an underdetermined problem:...

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Bibliographic Details
Main Authors: Marco J Morelli, Gaël Thébaud, Joël Chadœuf, Donald P King, Daniel T Haydon, Samuel Soubeyrand
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23166481/pdf/?tool=EBI