This paper is in the following e-collection/theme issue:

Public Health Data Visualization and Pattern Recognition (64)

Published on in Vol 9, No 1 (2017):

Measuring and Improving the Quality of Data Used for Syndromic Surveillance

Measuring and Improving the Quality of Data Used for Syndromic Surveillance

Measuring and Improving the Quality of Data Used for Syndromic Surveillance

Authors of this article:

Brian E. Dixon1 ;   Jon Duke2 ;   Shaun Grannis3
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Brian E. Dixon   1 ;   Jon Duke   2 ;   Shaun Grannis   3

1 Center for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA; Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA; Department of Veterans Affairs, Health Services Research & Development Service,

2 Georgia Tech Research Institute, Atlanta, GA, USA; Center for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA;

3 Center for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA;Indiana University School of Medicine, Indianapolis, IN, USA

Corresponding Author:

  • Brian E. Dixon
  • Center for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA; Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA; Department of Veterans Affairs, Health Services Research & Development Service,