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: Farming Human Pathogens
    sub title: Ecological Resilience and Evolutionary Process
  name:
    name part: Wallace, Robert G.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Wallace, Deborah.
    role:
      role term: author.
  name:
    name part: Wallace, Rodrick.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 216 p. online resource.
  abstract: Farming Human Pathogens: Ecological Resilience and Evolutionary Process introduces a cutting-edge formalism based on the asymptotic limit theorems of information theory to describe how punctuated shifts in mesoscale ecosystems can entrain patterns of gene expression and organismal evolution. The development is applied to several infectious diseases that have evolved in response to the world as humans have made it. Many pathogens emerging from underneath epidemiological control are 'farmed' in the metaphorical sense, as the evolution of drug resistant HIV makes clear, but some, like avian influenza, emerge quite literally as the result of new practices in industrial farming. Effective disease control in the 21st Century must necessarily involve broad economic and social reform for reasons embedded in the basics of pathogen evolution. .
  table of contents: Formal theory I -- Formal theory II -- Coevolution -- Eigen#x2019;s paradox -- Farming human pathogens -- Final Remarks.
  note: by Robert G. Wallace, Deborah Wallace, Rodrick Wallace.
  subject:
    topic: Computer science
  subject:
    topic: Public health
  subject:
    topic: Health informatics
  subject:
    topic: Epidemiology
  subject:
    topic: Bioinformatics
  subject:
    topic: Computer Science
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Public Health
  subject:
    topic: Health Informatics
  subject:
    topic: Epidemiology
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387922133
  identifier: http://dx.doi.org/10.1007/978-0-387-92213-3
  record info:
    record creation date: 100301
    record change date: 20151204172359.0
    record identifier: 978-0-387-92213-3