TY  - JOUR
PY  - 2017//
TI  - Balancing geo-privacy and spatial patterns in epidemiological studies
JO  - Geospatial health
A1  - Chen, Chien-Chou
A1  - Chuang, Jen-Hsiang
A1  - Wang, Da-Wei
A1  - Wang, Chien-Min
A1  - Lin, Bo-Cheng
A1  - Chan, Ta-Chien
SP  - e573
EP  - e573
VL  - 12
IS  - 2
N2  - 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>
LA  - en
SN  - 1827-1987
UR  - http://dx.doi.org/10.4081/gh.2017.573
ID  - ref1
ER  -