Balancing geo-privacy and spatial patterns in epidemiological studies

Main Article Content

Chien-Chou Chen
Jen-Hsiang Chuang
Da-Wei Wang
Chien-Min Wang
Bo-Cheng Lin
Ta-Chien Chan *
(*) Corresponding Author:
Ta-Chien Chan | dachianpig@gmail.com

Abstract

To balance the protection of geo-privacy and the accuracy of spatial patterns, we developed a geo-spatial tool (GeoMasker) intended to mask the residential locations of patients or cases in a geographic information system (GIS). To elucidate the effects of geo-masking parameters, we applied 2010 dengue epidemic data from Taiwan testing the tool’s performance in an empirical situation. The similarity of pre- and post-spatial patterns was measured by D statistics under a 95% confidence interval. In the empirical study, different magnitudes of anonymisation (estimated Kanonymity ≥10 and 100) were achieved and different degrees of agreement on the pre- and post-patterns were evaluated. The application is beneficial for public health workers and researchers when processing data with individuals’ spatial information.

Downloads month by month

Downloads

Download data is not yet available.

Article Details