Modelling of Human Infections

Gennady Bocharov (), Vitaly Volpert, Burkhard Ludewig and Andreas Meyerhans
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Gennady Bocharov: Russian Academy of Sciences, Marchuk Institute of Numerical Mathematics
Vitaly Volpert: Centre National de la Recherche Scientifique (CNRS), Institut Camille Jordan, UMR 5208 CNRS
Burkhard Ludewig: Kantonsspital St. Gallen, Institute of Immunobiology
Andreas Meyerhans: ICREA and Universitat Pompeu Fabra, Parc de Recerca Biomedica Barcelona

Chapter Chapter 5 in Mathematical Immunology of Virus Infections, 2018, pp 153-194 from Springer

Abstract: Abstract 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, 12–14, 33].

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-72317-4_5

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DOI: 10.1007/978-3-319-72317-4_5

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