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Breast cancer in West Islip, NY: A spatial clustering analysis with covariates

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  • Timander, Linda M.
  • McLafferty, Sara

Abstract

This paper presents the results of an exploratory spatial analysis of breast cancer clustering in the community of West Islip on Long Island. Using address-level data from a survey of women in West Islip, we analyze the existence and locations of breast cancer clusters among long-term community residents. Statistical and geographical methods are used to first, estimate a logistic regression model of disease as a function of known risk factors and second, analyze spatial clustering among the cases of breast cancer not explained by the modeled risk factors. The method determines the actual locations of clusters so that if there is a potential causal factor in the environment it can be identified for further study. Although little evidence of clustering is uncovered, the methods described here have utility for exploratory spatial analysis in many health contexts.

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  • Timander, Linda M. & McLafferty, Sara, 1998. "Breast cancer in West Islip, NY: A spatial clustering analysis with covariates," Social Science & Medicine, Elsevier, vol. 46(12), pages 1623-1635, June.
    • Handle: RePEc:eee:socmed:v:46:y:1998:i:12:p:1623-1635
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    Cited by:

    1. Namin, S. & Zhou, Y. & Neuner, J. & Beyer, K., 2021. "The role of residential history in cancer research: A scoping review," Social Science & Medicine, Elsevier, vol. 270(C).
    2. Lan Hu & Yongwan Chun & Daniel A. Griffith, 2020. "Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010," Journal of Geographical Systems, Springer, vol. 22(3), pages 291-308, July.

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