The Reliability of Tweets as a Supplementary Method of Seasonal Influenza Surveillance-Reference-Cited by-同舟云学术

The Reliability of Tweets as a Supplementary Method of Seasonal Influenza Surveillance

Published:2014-11-14 Issue:11 Volume:16 Page:e250
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:J Med Internet Res

Author:

Aslam Anoshé A,Tsou Ming-Hsiang,Spitzberg Brian H,An Li,Gawron J Mark,Gupta Dipak K,Peddecord K Michael,Nagel Anna C,Allen Christopher,Yang Jiue-An,Lindsay Suzanne

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference26 articles.

1. BuehlerJWHopkinsRSOverhageJMSosinDMTongVFramework for evaluating public health surveillance systems for early detection of outbreaks200405072014-05-05http://www.cdc.gov/mmwr/preview/mmwrhtml/rr5305a1.htm6PLqwBwwM

2. Digital Disease Detection — Harnessing the Web for Public Health Surveillance

3. HenningKCenters for Disease Control and Prevention200409242014-05-05Overview of syndromic surveillance -- what is syndromic surveillance?http://www.cdc.gov/MMWR/preview/mmwrhtml/su5301a3.htm6PLr8M4JW

4. Infodemiology and Infoveillance

5. Centers for Disease Control and PreventionWorkplace health promotion: adult immunization201310132014-05-05http://www.cdc.gov/workplacehealthpromotion/evaluation/topics/immunization.html6PLrAxFFr

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