Disease map reconstruction

Stat Med. 2001 Jul 30;20(14):2183-204. doi: 10.1002/sim.933.


The analysis of the geographical distribution of disease incidence or prevalence is now of considerable importance for public health workers and epidemiologists alike. Important disease variations often have a spatial expression and so spatial analysis methods are an important additional tool in this connection. In this tutorial I have aimed to highlight the main issues relating to the analysis of disease where the goal is the reduction in noise in a disease map. This area is sometimes simply called disease mapping. A number of modelling approaches to disease mapping are considered and a case study highlighting the methods advocated is also included.

Publication types

  • Review

MeSH terms

  • Bayes Theorem
  • Biometry*
  • Cluster Analysis
  • Epidemiologic Methods*
  • Humans
  • Laryngeal Neoplasms / epidemiology
  • Likelihood Functions
  • Models, Biological
  • Respiratory Tract Neoplasms / epidemiology
  • Risk
  • United Kingdom