Disease Cluster Analysis Data Export
Deployed
The Disease Cluster Analysis Data Export allows users to pre-process CWD Warehouse sample data for immediate upload into the SaTScan software. The SaTScan software analyzes spatial and temporal data for any of the following interrelated purposes: * Perform geographical surveillance of disease * Detect spatial or space-time disease clusters * Test whether a disease is randomly distributed over space, time, or space and time * Evaluate the statistical significance of disease clusters
Geographical Scale
- A collection of exact locations of hosts (latitude, longitude)
Required Data
- Sample data, including exact latitude/longitude and exact harvest date
User Inputs
- Cervid species of interest
- Season-years(s) of interest
- Desired scan type (spatial or temporal)
Outputs
- A downloadable file of processed sample data for use in the SaTScan import wizard
- A downloadable file with a summary of Warehouse-selected inputs to assist in model creation in the SaTScan software
More Information
For more information, go to the CWD Data Warehouse User Manual: Disease Cluster Analysis Data Export.
Code and Docker Image
To view the code, go to the GitHub Repository: Disease Cluster Analysis Data Export. To view the docker image, go to the Docker Hub: cwhl/disease-cluster-analysis-data-export-v2.
Citations
- Kulldorff M. 1997. A spatial scan statistic. Communications in Statistics: Theory and Methods. 26:1481-1496.
- Kulldorff M, Nagarwalla N. 1995. ]Spatial disease clusters: Detection and inference](https://doi.org/10.1002/sim.4780140809). Statistics in Medicine. 14:799-810.
- Kulldorff M, Athas W, Feuer E, Miller B, Key C. 1998. Evaluating cluster alarms: A space-time scan statistic and brain cancer in Los Alamos. American Journal of Public Health. 88:1377-1380.