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: Spatial and syndromic surveillance for public health
  name:
    name part: Lawson, Andrew (Andrew B.)
  name:
    name part: Kleinman, Ken.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xiv, 269 pages : illustrations, maps ; 24 cm.
  table of contents: Introduction : spatial and syndromic surveillance for public health -- Introduction to temporal surveillance -- Overview of temporal surveillance -- Optimal surveillance -- Basic methods for spatial and syndromic surveillance -- Spatial and spatio-temporal disease analysis -- Generalized linear models and generalized linear mixed models for small-area surveillance -- Spatial surveillance and cumulative sum methods -- Scan statistics for geographical disease surveillance : an overview -- Distance-based methods for spatial and spatio-temporal surveillance -- Multivariate surveillance -- Pt. III. Database mining an Bayesian methods -- Bayesian network approaches to detection -- Efficient scan statistic computations - Bayesian data mining for health surveillance -- Advanced modeling for surveillance : clustering of relative risk changes
  note: edited by Andrew B. Lawson, Ken Kleinman.
  note: Includes bibliographical references and index.
  subject:
    topic: Population Surveillance
    topic: methods
  subject:
    topic: Public Health
    topic: methods
  subject:
    topic: Epidemiology
  classification: RA652.2.P82 S67 2005
  classification: 614.4
  classification: WA 950 S7385 2005
  identifier: 0470092483
  identifier: 2005298205
  record info:
    record content source: UKM
    record creation date: 050329
    record change date: 20191203131407.0
    record identifier: in00004500369
    language of cataloging:
      language term: eng