@article{ref1,
title="Balancing geo-privacy and spatial patterns in epidemiological studies",
journal="Geospatial health",
year="2017",
author="Chen, Chien-Chou and Chuang, Jen-Hsiang and Wang, Da-Wei and Wang, Chien-Min and Lin, Bo-Cheng and Chan, Ta-Chien",
volume="12",
number="2",
pages="e573-e573",
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.<p /> <p>Language: en</p>",
language="en",
issn="1827-1987",
doi="10.4081/gh.2017.573",
url="http://dx.doi.org/10.4081/gh.2017.573"
}