Spatial variation in risk

Dirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, Archie C.A. Clements

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

Abstract

This chapter discusses spatial variation in risk. Epidemiological disease investigations should include an assessment of the spatial variation of disease risk, as this may provide important clues leading to causal explanations. The objective is to produce a map representation of the important spatial effects present in the data while simultaneously removing any distracting noise or extreme values. The resulting smoothed map should have increased precision without introducing significant bias. The method used to analyse the data depends on how they have been recorded. Smoothing based on kernel functions, smoothing based and on Bayesian models, and spatial interpolation are discussed.
Original languageEnglish
Title of host publicationSpatial Analysis in Epidemiology
EditorsDirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, Archie C. A. Clements
PublisherOxford University Press
Chapter6
Pages67-80
ISBN (Print)978-0-19-850988-2, 978–0–19–850989–9
DOIs
Publication statusPublished - 2008
Externally publishedYes

Research Keywords

  • spatial variations
  • spatial epidemiological analysis
  • map representation
  • spatial effects
  • smoothing
  • kernel functions
  • Bayesian models
  • spatial interpolation

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