%0 Journal Article
%T Balancing geo-privacy and spatial patterns in epidemiological studies
%J Geospatial health
%D 2017
%A Chen, Chien-Chou
%A Chuang, Jen-Hsiang
%A Wang, Da-Wei
%A Wang, Chien-Min
%A Lin, Bo-Cheng
%A Chan, Ta-Chien
%V 12
%N 2
%P e573-e573
%X 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>
%G en
%I University of Naples
%@ 1827-1987
%U http://dx.doi.org/10.4081/gh.2017.573