GIS approaches to the problem of disease clusters: a brief commentary
AbstractThis commentary considers issues raised in a recent article on GIS-based approaches to modeling disease clusters. 'Modeling exposure opportunities' (Sabel, Gatrell & Löytönen et al., 2000. Social Science and Medicine, 50, 1121-37) and the general problem of mapping disease clusters. It notes that the authors' advocate a fundamentally statistical approach, Kerneling estimation, to map the occurrence of a specific illness whose etiology is unknown. Epidemiologists, ironically, have advocated a fundamentally cartographic solution, the cartogram, in addressing the general problem of disease clusters. The advantages and limits of both approaches are reviewed and the potential for their comparison in a single study suggested. Most importantly, perhaps, the commentary seeks to join the epidemiological and medical geographic literatures as they pertain to this analytic problem and medical cartography's potential (GIS-based or traditional) to understand disease etiology.
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Bibliographic InfoArticle provided by Elsevier in its journal Social Science & Medicine.
Volume (Year): 52 (2001)
Issue (Month): 11 (June)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description
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