Research article
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts
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* Corresponding author: Ryan P Hafen rhafen@purdue.edu
1 Department of Statistics, Purdue University, West Lafayette, Indiana, USA
2 Department of Mathematics, Xavier University, New Orleans, Louisiana, USA
3 Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA
4 Department of Computer Science, Purdue University, West Lafayette, Indiana, USA
5 Regenstrief Institute, Indianapolis, Indiana, USA
6 School of Medicine, Indiana University, Indianapolis, Indiana, USA
BMC Medical Informatics and Decision Making 2009, 9:21 doi:10.1186/1472-6947-9-21
Published: 21 April 2009Additional files
Additional file 1:
R code and documentation. contains R source code, examples, data, and documentation for carrying out the STL procedure.
Format: ZIP Size: 83KB Download file
