The analysis of the geographical distribution of disease incidence or preva
lence is now of considerable importance for public health workers and epide
miologists alike. Important disease variations often have a spatial express
ion and so spatial analysis methods are an important additional tool in thi
s connection. In this tutorial I have aimed to highlight the main issues re
lating 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 n
umber of modelling approaches to disease mapping are considered and a case
study highlighting the methods advocated is also included. Copyright (C) 20
01 John Wiley & Sons, Ltd.