| Literature DB >> 11439429 |
Abstract
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.Mesh:
Year: 2001 PMID: 11439429 DOI: 10.1002/sim.933
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373