Journal article
Locating irregularly shaped clusters of infection intensity
Abstract
Patterns of disease may take on irregular geographic shapes, especially when features of the physical environment influence risk. Identifying these patterns can be important for planning, and also identifying new environmental or social factors associated with high or low risk of illness. Until recently, cluster detection methods were limited in their ability to detect irregular spatial patterns, and limited to finding clusters that were …
Authors
Yiannakoulias N; Wilson S; Kariuki HC; Mwatha JK; Ouma JH; Muchiri E; Kimani G; Vennervald BJ; Dunne DW
Journal
Geospatial Health, Vol. 4, No. 2, pp. 191–200
Publisher
PAGEPress Publications
Publication Date
May 2010
DOI
10.4081/gh.2010.200
ISSN
1827-1987