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The development of reliable methods for outbreak detection remains an active research area.
Additional training and support tools will assist local health department personnel in the use of epidemiologic methods for outbreak investigations.
The space-time scan statistic method is proposed as a dynamic supplement to purely spatial statistical methods for outbreak detection and prediction.
Epidemic outbreak detection is an important problem in public health and the development of reliable methods for outbreak detection remains an active research area.
Although options for computerized surveillance are increasing (11– 15), many current methods for outbreak detection are effective only when substantial time has elapsed from the actual events.
Therefore, space-time disease-surveillance methods should be proposed as a dynamic supplement to purely spatial statistical methods for outbreak detection to detect and predict localized outbreaks before they spread to larger regions.
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We found FAFLP to be an important method for outbreak investigation and for clustering of isolates based on their geographical descent rather than by genome species types.
While we found FAFLP to be an important method for outbreak investigation and for clustering of isolates based on their geographical descent rather than by genome species types, it was not able to convey much taxonomical utility sufficient to replace tedious serotyping procedures, currently in practice, worldwide.
Raman-typing is highly specific, is fast (within an hour) with high throughput, and is an easy-to-use method for outbreak situations [ 16].
CH provided statistical consultation and chose the best statistical modeling method for outbreak detection in the initiation stage of establishing the ED-SSS.
Use of an existing infrastructure did not require immediate recruitment and training of volunteer interviewers, the traditional method for outbreak investigations, but provided a trained interviewing staff.
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