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Distance-Based Mapping of Disease Risk

Author

Listed:
  • Jeffery Caroline

    (Liverpool School of Tropical Medicine, Department of International Public Health, Monitoring and Evaluation Technical assistance and Research group, Liverpool L3 5QA, United Kingdom)

  • Ozonoff Al

    (Boston Children’s Hospital, Clinical Research Center, Boston MA 02115, United States)

  • White Laura Forsberg

    (Boston University School of Public Health, Department of Biostatistics, Boston MA 02118, United States)

  • Pagano Marcello

    (Harvard School of Public Health, Department of Biostatistics, Boston MA 02115, United States)

Abstract

In this article, we consider the problem of comparing the distribution of observations in a planar region to a pre-specified null distribution. Our motivation is a surveillance setting where we map locations of incident disease, aiming to monitor these data over time, to locate potential areas of high/low incidence so as to direct public health actions.

Suggested Citation

  • Jeffery Caroline & Ozonoff Al & White Laura Forsberg & Pagano Marcello, 2013. "Distance-Based Mapping of Disease Risk," The International Journal of Biostatistics, De Gruyter, vol. 9(2), pages 265-290, May.
  • Handle: RePEc:bpj:ijbist:v:9:y:2013:i:2:p:265-290:n:3
    DOI: 10.1515/ijb-2012-0024
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    References listed on IDEAS

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    1. Christian Sonesson & David Bock, 2003. "A review and discussion of prospective statistical surveillance in public health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(1), pages 5-21, February.
    2. Vidal Rodeiro, Carmen L. & Lawson, Andrew B., 2005. "An evaluation of the edge effects in disease map modelling," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 45-62, April.
    3. Sabel, Clive E. & Gatrell, Anthony C. & Löytönen, Markku & Maasilta, Paula & Jokelainen, Matti, 2000. "Modelling exposure opportunities: estimating relative risk for motor neurone disease in Finland," Social Science & Medicine, Elsevier, vol. 50(7-8), pages 1121-1137, April.
    4. Peter Diggle, 1985. "A Kernel Method for Smoothing Point Process Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(2), pages 138-147, June.
    5. Olson, K.L. & Grannis, S.J. & Mandl, K.D., 2006. "Privacy protection versus cluster detection in spatial epidemiology," American Journal of Public Health, American Public Health Association, vol. 96(11), pages 2002-2008.
    6. E. E. Kammann & M. P. Wand, 2003. "Geoadditive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(1), pages 1-18, January.
    7. Kowalski J. & Pagano M. & DeGruttola V., 2002. "A Nonparametric Test of Gene Region Heterogeneity Associated With Phenotype," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 398-408, June.
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    Cited by:

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