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Viruses are fast evolving pathogens that continuously adapt to the highly variable environments they live and reproduce in. Strategies devoted to inhibit virus replication and to control their spread among hosts need to cope with these extremely heterogeneous populations and with their potential to avoid medical interventions. Computational techniques such as phylogenetic methods have broadened our picture of viral evolution both in time and space, and mathematical modeling has contributeddoi:10.1186/1745-7580-6-s2-s5 pmid:21067547 pmcid:PMC2981881 fatcat:7wsvjkleg5hdliif56akhdyyji