DEFENDER: Detecting and Forecasting Epidemics Using Novel Data-Analytics for Enhanced Response

Volume: 11, Issue: 5, Pages: e0155417 - e0155417
Published: May 18, 2016
Abstract
In recent years social and news media have increasingly been used to explain patterns in disease activity and progression. Social media data, principally from the Twitter network, has been shown to correlate well with official disease case counts. This fact has been exploited to provide advance warning of outbreak detection, forecasting of disease levels and the ability to predict the likelihood of individuals developing symptoms. In this paper...
Paper Details
Title
DEFENDER: Detecting and Forecasting Epidemics Using Novel Data-Analytics for Enhanced Response
Published Date
May 18, 2016
Journal
Volume
11
Issue
5
Pages
e0155417 - e0155417
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