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Nonetheless, some idea of the value of the algorithm is given by the fact that since 1998, no national outbreak of Salmonella has been detected by means other than by the Salmonella outbreak detection system.
For example, Germany has implemented an automated outbreak detection system that monitors the routinely collected surveillance data for communicable diseases.
The outbreak detection system runs automatically every weekend, processing the previous week's reports.
The main function of a computer supported outbreak detection system is to warn for potential outbreaks.
We describe the development of an automated outbreak detection system within ISIS for all laboratory-reported pathogens in the Netherlands.
At present, 40 surveillance diagnoses in ISIS are available for use in the automated outbreak detection system.
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The results support our working hypothesis that judicious use of information contained in the EMR can improve early disease detection compared to the sole use of diagnostic codes, and raise the possibility that harnessing the EMR as a data source may improve the overall performance of automated outbreak detection systems.
Twenty years of data provide valuable insights for the design of large automated outbreak detection systems.
AEGIS-CCT enables the ready creation of datasets for benchmarking outbreak detection systems.
Some valuable general conclusions emerge of direct relevance to the design of outbreak detection systems.
Standardization, as seen in outbreak detection systems like PulseNet (www.pulsenetinternational.org), is critical for a successful global approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com