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The role of spatial analysis and geographic data in the detection of disease causation

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  • Mayer, Jonathan D.

Abstract

Spatial analyses of disease patterns have been used by investigators as one tool with which to address problems of disease causation. However, while the results of spatial studies may be suggestive, they have been definitive only rarely. This is because there are numerous epistemological, logical and methodological problems which are encountered in spatial analysis. It is important to address these problems as one step in answering the basic issues concerning the role of spatial analysis in the detection of disease causation.

Suggested Citation

  • Mayer, Jonathan D., 1983. "The role of spatial analysis and geographic data in the detection of disease causation," Social Science & Medicine, Elsevier, vol. 17(16), pages 1213-1221, January.
    • Handle: RePEc:eee:socmed:v:17:y:1983:i:16:p:1213-1221
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    Cited by:

    1. Wael K. Al-Delaimy & Catherine Wood Larsen & Keith Pezzoli, 2014. "Differences in Health Symptoms among Residents Living Near Illegal Dump Sites in Los Laureles Canyon, Tijuana, Mexico: A Cross Sectional Survey," IJERPH, MDPI, vol. 11(9), pages 1-21, September.
    2. Michael Jerrett & Sara Gale & Caitlin Kontgis, 2010. "Spatial Modeling in Environmental and Public Health Research," IJERPH, MDPI, vol. 7(4), pages 1-28, March.
    3. Tomoki Nakaya, 2000. "An Information Statistical Approach to the Modifiable Areal Unit Problem in Incidence Rate Maps," Environment and Planning A, , vol. 32(1), pages 91-109, January.

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