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Disease map reconstruction
Author(s) -
Lawson Andrew B.
Publication year - 2001
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.933
Subject(s) - disease , computer science , public health , data mining , data science , cartography , geography , medicine , pathology
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. Copyright © 2001 John Wiley & Sons, Ltd.