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

Public Health Data Visualization and Pattern Recognition (68)

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

JMIR Publications logo: Advancing Digital Health & Open Science

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,