文章基本信息

标题：Towards Influenza Surveillance in Military Populations Using Novel and Traditional Sources
本地全文：下载
作者：Lauren Charles-Smith ; Alexander Rittel ; Umashanthi Pavalanathan 等
期刊名称：Online Journal of Public Health Informatics
电子版ISSN：1947-2579
出版年度：2016
卷号：8
期号：1
语种：English
出版社：University of Illinois at Chicago
摘要：U.S. military influenza surveillance utilizes electronic reporting of clinical diagnoses to monitor health of military personnel and detect naturally occurring and bioterrorism-related epidemics. While accurate, these systems lack in timeliness. More recently, researchers have used novel data sources to detect influenza in real-time and capture non-traditional populations. With data-mining techniques, military social media users are identified and influenza-related discourse is integrated along with medical data into a comprehensive disease model. By leveraging heterogeneous data streams and developing dashboard biosurveillance analytics, the researchers hope to increase the speed at which outbreaks are detected and provide accurate disease forecasting among military personnel.