rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mathematical Immunology of Virus Infections
  name:
    name part: Bocharov, Gennady.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Volpert, Vitaly.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ludewig, Burkhard.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Meyerhans, Andreas.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 245 p. online resource.
  abstract: This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology. .
  table of contents: Principles of virus-host interaction -- Basic principles of building a mathematical model of immune response -- Parameter estimation and model selection -- Modelling of experimental infections -- Modelling of human infections -- Spatial modelling using reaction-diffusion systems -- Multi-scale and integrative modelling approaches -- Current challenges.
  note: by Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans.
  subject:
    topic: Biomathematics
  subject:
    topic: Immunology
  subject:
    topic: Biomedical engineering
  subject:
    topic: Statistics
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Physiological, Cellular and Medical Topics
  subject:
    topic: Immunology
  subject:
    topic: Biomedical Engineering/Biotechnology
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Mathematical Models of Cognitive Processes and Neural Networks
  classification: QH323.5
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319723174
  identifier: https://doi.org/10.1007/978-3-319-72317-4
  record info:
    record creation date: 180612
    record change date: 20191026102534.0
    record identifier: 978-3-319-72317-4