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Balancing geo-privacy and spatial patterns in epidemiological studies.

Chien-Chou Chen1, Jen-Hsiang Chuang, Da-Wei Wang

  • 1Center for Geographic Information Science, Research Center for Humanities and Social Sciences, Academia Sinica, Taipei. tojoechen@gmail.com.

Geospatial Health
|December 15, 2017
PubMed
Summary

GeoMasker is a new geo-spatial tool that masks residential locations to protect patient privacy while maintaining spatial pattern accuracy. It balances geo-privacy and data utility for public health research.

Keywords:
D statisticsGeo-maskingGeo-privacySpatial epidemiology

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Area of Science:

  • Geographic Information Systems (GIS)
  • Spatial Epidemiology
  • Public Health Informatics

Background:

  • Protecting individual geo-privacy is crucial in spatial health studies.
  • Maintaining the accuracy of spatial patterns is essential for epidemiological analysis.
  • Existing methods may not adequately balance privacy and data utility.

Purpose of the Study:

  • To introduce GeoMasker, a novel geo-spatial tool for masking residential locations.
  • To evaluate the impact of geo-masking parameters on spatial pattern accuracy.
  • To assess the tool's performance using real-world dengue epidemic data.

Main Methods:

  • Developed and applied the GeoMasker tool within a GIS environment.
  • Utilized 2010 dengue epidemic data from Taiwan for empirical testing.
  • Measured spatial pattern similarity using D statistics with a 95% confidence interval.
  • Evaluated different levels of anonymization (k-anonymity ≥10 and 100).

Main Results:

  • GeoMasker successfully masked residential locations, achieving varying degrees of anonymization.
  • Different geo-masking parameters resulted in measurable impacts on spatial pattern accuracy.
  • The D statistic indicated varying levels of agreement between pre- and post-masking spatial patterns.
  • Empirical results demonstrated the tool's ability to balance privacy and pattern fidelity.

Conclusions:

  • GeoMasker effectively balances geo-privacy protection with the accuracy of spatial patterns.
  • The tool provides a valuable method for public health workers and researchers handling sensitive spatial data.
  • Application of GeoMasker enhances the ethical and practical utility of spatial health information.