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

Public Health Information Exchange Technologies (55) Influenza and Influenza-Like-Illness (ILI) Surveillance (217)

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

Utility of Nontraditional Data Sources for Early Detection of Influenza

Utility of Nontraditional Data Sources for Early Detection of Influenza

Utility of Nontraditional Data Sources for Early Detection of Influenza

Authors of this article:

Shari Barlow1 ;   Jonathan Temte1 ;   Yenlik Zheteyeva2 ;   Ashley Fowlkes3 ;   Carrie Reed3 ;   Derek Cummings4
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by Tweetations Metrics

Shari Barlow   1 ;   Jonathan Temte   1 ;   Yenlik Zheteyeva   2 ;   Ashley Fowlkes   3 ;   Carrie Reed   3 ;   Derek Cummings   4

1 Department of Family Medicine and Community Health, University of Wisconsin, Madison, WI, USA

2 DGMQ, CDC, Atlanta, GA, USA;

3 Influenza Division, CDC, Atlanta, GA, USA

4 University of Florida, Department of Biology, Emerging Pathogens Institute, Gainesville, FL, USA

Corresponding Author:

  • Shari Barlow
  • Department of Family Medicine and Community Health, University of Wisconsin, Madison, WI, USA