Exploratory disease mapping: kriging the spatial risk function from regional count data

  title={Exploratory disease mapping: kriging the spatial risk function from regional count data},
  author={Olaf Berke},
  journal={International Journal of Health Geographics},
  pages={18 - 18}
  • Olaf Berke
  • Published 2004 in International journal of health geographics
BACKGROUND: There is considerable interest in the literature on disease mapping to interpolate estimates of disease occurrence or risk of disease from a regional database onto a continuous surface. In addition to many interpolation techniques available the geostatistical method of kriging has been used but also criticised. RESULTS: To circumvent these critics one may use kriging along with already smoothed regional estimates, where smoothing is based on empirical Bayes estimates, also known as… CONTINUE READING
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Zum Vorkommen von Echinococcus multilocularis bei Rotfüchsen in Niedersachsen: Identifikation eines Hochrisikogebietes mit Methoden der räumlichen epidemiologischen Clusteranalyse

  • O Berke, M von Keyserlingk, S Broll, L Kreienbrock
  • Berl Munch Tierarztl Wochenschr
  • 2002
Highly Influential
4 Excerpts

Statistics for Spatial Data rev edition

  • N Cressie
  • 1993
Highly Influential
10 Excerpts

Statistical Methods in Spatial Epidemiology Chichester, Wiley

  • AB Lawson
  • 2001
Highly Influential
3 Excerpts

Tutorial in biostatistics: disease map reconstruction

  • AB Lawson
  • Statistics in Medicine
  • 2001
Highly Influential
4 Excerpts

Overview of statistical methods for disease mapping and its relationship to cluster detection

  • PJ Diggle
  • Edited by: Elliot P,
  • 2000
Highly Influential
4 Excerpts

Modelling spatial variation in disease risk: a geostatistical approach

  • J Kelsall, J Wakefield
  • Journal of the American Statistical Association
  • 2002
1 Excerpt

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