The Assessment of Twitter’s Potential for Outbreak Detection: Avian Influenza Case Study
Abstract
Social media services such as Twitter are valuable sources of information for surveillance systems. A digital syndromic surveillance system has several advantages including its ability to overcome the problem of time delay in traditional surveillance systems. Despite the progress made with using digital syndromic surveillance systems, the possibility of tracking avian influenza (AI) using online sources has not been fully explored. In this...
Paper Details
Title
The Assessment of Twitter’s Potential for Outbreak Detection: Avian Influenza Case Study
Published Date
Dec 3, 2019
Journal
Volume
9
Issue
1
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