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GIS approaches to the problem of disease clusters: a brief commentary

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  • Koch, Tom
  • Denike, Ken
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    Abstract

    This 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 Info

    Article provided by Elsevier in its journal Social Science & Medicine.

    Volume (Year): 52 (2001)
    Issue (Month): 11 (June)
    Pages: 1751-1754

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    Handle: RePEc:eee:socmed:v:52:y:2001:i:11:p:1751-1754

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    Keywords: Cartography Disease clusters Epidemiology GIS;

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