Spatiotemporal Surveillance for Health Applications
DescriptionCurrently surveillance systems lack the ability to interrogate disparate data with diverseconditioned datasets from sources such as the Internet and hospital databases. The proposed research will develop effective spatiotemporal surveillance methods to enable early detection of disease outbreaks and accurate outbreak cluster identification based on multiple data streams related to infectious diseases. In public health surveillance, considerable attention has been paid to temporal and spatial surveillance methods but less to spatiotemporal surveillance. Spatiotemporal surveillance refers to the simultaneous monitoring over time of event occurrences at multiple regions or locations. The objective is to accurately detect the time and location(s) of changes in the occurrence rate as soon as possible.
|Effective start/end date||1/09/15 → 19/03/19|
- Health Surveillance,Health Monitoring,Multiple Data Streams,False Discovery Rate,Outbreak Detection