Displaying results 17 - 19 of 19
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Temporal-Spatial Surveillance Techniques from Non-Homogenous Random Geometric Graphs
Content Type: Abstract
Graph theory concepts are well established in epidemiology, with particular success as a description of agent-based modeling. An agent-based viewpoint leads to conclusions about the spatial distribution of links: infection is more likely among… read more… (CHB), the IDD provides inadequate power. Emergency De- partment (ED) chief complaints from 1/1/2000- 12/31/2004 … random graph, points are scattered across a region. All points within a specified radius are connected, and the … -
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… cases which resulted high values of dataset k- anonymity. De-identification that moves points an average distance of … that a k-anonymity value of 20 has been reached in 99% of all patients in a sam- ple dataset when the average distance … -
Traveling Epidemic Waves in Biosurveillance Data: Identifying Early Hotspots of Respiratory Illness
Content Type: Abstract
We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to… read more… analysis was used to find the estimated phase shift (i.e., lag or lead time) between the underlying yearly …