Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach
Ability to detect potential space-time clusters in spatio-temporal data on disease occurrences is necessary for conducting surveillance and implementing disease prevention policies. Most existing techniques use geometrically shaped (circular, elliptical or square) scanning windows to discover diseas...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2017-11-01
|
| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | http://geospatialhealth.net/index.php/gh/article/view/567 |