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A Context-sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection

Objective: 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 data sets by transposing their spatial locations through a pro...

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Autors principals: Cassa, Christopher A., Grannis, Shaun J., Overhage, J. Marc, Mandl, Kenneth D.
Format: Artigo
Idioma:Inglês
Publicat: American Medical Informatics Association 2006
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC1447544/
https://ncbi.nlm.nih.gov/pubmed/16357353
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M1920
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