SaTScan™ software analyzes spatial, temporal, and space-time data using spatial, temporal, or space-time scan statistics. SaTScan™ is designed to:
- Perform geographical surveillance of disease, to detect spatial or space-time disease clusters, and to see if they are statistically significant
- Test whether a disease is randomly distributed over space, over time, or over space and time
- Evaluate the statistical significance of disease cluster alarms
- Perform repeated time-periodic disease surveillance for early detection of disease outbreaks.
SaTScan™ was originally developed by Martin Kulldorff, then a member of NCI's Division of Cancer Prevention, together with Information Management Services Inc. NCI, NIH, the Centers for Disease Control and Prevention, and the Alfred P. Sloan Foundation have provided funding for SaTScan™.
For more information or to download, visit the SaTScan website.