Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America

Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America

Abstract Background Influenza causes an estimated 3000 to 50,000 deaths per year in the United States of America (US). Timely and representative data can help local, state, and national public health officials monitor and respond to outbreaks of seasonal influenza. Data from cloud-based electronic h...

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Bibliographic Details
Main Authors: Kristin Baltrusaitis, John S. Brownstein, Samuel V. Scarpino, Eric Bakota, Adam W. Crawley, Giuseppe Conidi, Julia Gunn, Josh Gray, Anna Zink, Mauricio Santillana
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Infectious Diseases
Subjects:
Community-based participatory research
Crowd-sourcing
Digital disease detection
Influenza
Public health informatics
Public health surveillance
Online Access:http://link.springer.com/article/10.1186/s12879-018-3322-3

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http://link.springer.com/article/10.1186/s12879-018-3322-3

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