Displaying results 9 - 13 of 13
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Anonymization of Spatial Data by Gaussian Skew: Is Re-Identification Possible?
Content Type: Abstract
To evaluate the robustness of a spatial anonymization algorithm for syndromic surveillance data against a triangulation vulnerability attack. `BACKGROUND We have published an anonymization algorithm that takes precise point locations for patients… read more… Further Information: Christopher Cassa, cassa@mit.edu, www.chip.org Advances in Disease Surveillance 2007;2:145 … -
Improving Detection Timeliness by Modeling and Correcting for Data Availability Delays
Content Type: Abstract
The performance of even the most advanced syndromic surveillance systems can be undermined if the monitored data is delayed before it arrives into the system. In such cases, an outbreak may be detected only after it is too late for appropriate… read more… component of the PHIN Prepared- ness specifications. www.cdc.gov/phin/preparedness/eed.html [2] Reis, B.Y., … -
A Novel, Context-Sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection
Content Type: Abstract
The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more… Information: Christopher Cassa, cassa@mit.edu http://www.chip.org/ Advances in Disease Surveillance 2006;1:10 … -
Designing Epidemiological Networks for Real-world Surveillance Settings
Content Type: Abstract
This paper describes the syndromic networks paradigm and its application to various surveillance settings.… improved outbreak detection performance. The practical con- siderations that go into the network design process … guidelines for humanitarian agencies Programme on Disease Con- trol in Humanitarian Emergencies Communicable Diseases … -
Accurate Detection of Arbitrarily-Shaped Spatial Disease Clusters
Content Type: Abstract
Methods for locating spatial clusters of diseases are typically variations of the circular scan statistic method. They restrict the number of potential clusters by considering all circular, rectangular, or elliptical regions, and then apply a… read more… further study is needed. REFERENCES l scan statistic, Comm and Methods. 1997; 26(6):1481-1496. [2] Neill D, Moore …