Displaying results 1 - 4 of 4
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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 -
Advanced Modular Design for Scalable Biosurveillance Systems
Content Type: Abstract
This paper describes a modular approach to surveillance system design, ensuring flexibility, scalability and fault tolerance. -
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 -
Evaluating the Performance of a Spatial Scan Statistic Using Simulated Outbreak Characteristics
Content Type: Abstract
Research evaluating the use of spatial data for surveillance purposes is ongoing and evolving. As spatial methods evolve, it is important to characterize their effectiveness in real-world settings. Assessing the performance of… read more