Invited Keynote Talk: Integrative Viral Molecular Epidemiology: Hepatitis C Virus Modeling

  • James Lara
  • Zoya Dimitrova
  • Yuri Khudyakov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4983)


Traditional molecular epidemiology of viral infections is based on identifying genetic markers to assist in epidemiological investigation. The limitations of early molecular technologies led to preponderance of analytical methodology focused on the viral agent itself. Computational analysis was almost exclusively used for phylogenetic inference. Embracing the approaches and achievements of the traditional molecular epidemiology, integrative molecular epidemiology of viral infections expands into a comprehensive analysis of all factors involved into defining outcomes of exposure of a person(s) to viral infections. The major emphasis of this scientific discipline is on the development of predictive models that can be used in different clinical and public health settings. The current paper briefly reviews a few examples that illustrate a new trend in integrative molecular epidemiology striving to quantitatively define viral properties and parameters using primary structure of viral genomes.


Human Immunodeficiency Virus Type Molecular Epidemiology Bayesian Network Model Replication Fitness Public Health Setting 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • James Lara
    • 1
  • Zoya Dimitrova
    • 1
  • Yuri Khudyakov
    • 1
  1. 1.Molecular Epidemiology and Bioinformatics Laboratory, Division of Viral HepatitisCenters for Disease Control and PreventionAtlantaUSA

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