Modelling of Human Infections

  • Gennady BocharovEmail author
  • Vitaly Volpert
  • Burkhard Ludewig
  • Andreas Meyerhans


In this chapter, we illustrate the application of mathematical models and computational analyses tools of various complexities to the description and explanation of some observed phenotypes of viral infections in humans, such as HIV and HBV infections. Specifically, we try to gain a deeper understanding of the sensitivity of infection dynamics to growth rate and the efficacy of antigen presentation by APCs, the phenomenon of spontaneous recovery from HBV infection, and the kinetic determinants of a low-level (i.e. below the detection threshold) HBV persistence. The material of this chapter is based on our previous work published in [3, 12, 13, 14, 33].


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Gennady Bocharov
    • 1
    Email author
  • Vitaly Volpert
    • 2
    • 3
  • Burkhard Ludewig
    • 4
  • Andreas Meyerhans
    • 5
  1. 1.Marchuk Institute of Numerical MathematicsRussian Academy of SciencesMoscowRussia
  2. 2.Institut Camille Jordan, UMR 5208 CNRSCentre National de la Recherche Scientifique (CNRS)VilleurbanneFrance
  3. 3.RUDN UniversityMoscowRussia
  4. 4.Institute of ImmunobiologyKantonsspital St. GallenSt. GallenSwitzerland
  5. 5.Parc de Recerca Biomedica BarcelonaICREA and Universitat Pompeu FabraBarcelonaSpain

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