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More altruistically, Practice Fusion is working with Palantir and the CDC to power disease outbreak detection with its data.
Prompt space-time analyses are critical elements for accurate outbreak detection and mitigation purposes.
"It's almost like outbreak detection" for a fast-spreading virus, Moss says.
For example, Germany has implemented an automated outbreak detection system that monitors the routinely collected surveillance data for communicable diseases.
Feasibility of localized outbreak detection is demonstrated without swamping true signals by excessive false alarms.
Detection methods with specific characteristics advantageous for influenza outbreak detection in such databases can be developed.
The design is based on outbreak detection algorithms that are context sensitive.
The functions group identified requirements on outbreak detection and forecasting methods.
In the field of syndromic surveillance, various sources are exploited for outbreak detection, monitoring and prediction.
Outbreak detection can be performed in the administrative healthcare database environment [24].
Apart from that, under-notification can complicate outbreak detection through laboratories and clinicians [20].
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