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Title: Biosurveillance Using Clinical Diagnoses and Social Media Indicators in Military Populations

Abstract

U.S. military influenza surveillance uses 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 nontraditional 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.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1345453
Report Number(s):
PNNL-26271
400403909
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; 59 BASIC BIOLOGICAL SCIENCES; biosurveillance; social media; biodefense; military

Citation Formats

Corley, Courtney D., Volkova, Svitlana, Rounds, Jeremiah, Charles-Smith, Lauren E., Harrison, Joshua J., Mendoza, Joshua A., and Han, Keith S. Biosurveillance Using Clinical Diagnoses and Social Media Indicators in Military Populations. United States: N. p., 2017. Web. doi:10.2172/1345453.
Corley, Courtney D., Volkova, Svitlana, Rounds, Jeremiah, Charles-Smith, Lauren E., Harrison, Joshua J., Mendoza, Joshua A., & Han, Keith S. Biosurveillance Using Clinical Diagnoses and Social Media Indicators in Military Populations. United States. doi:10.2172/1345453.
Corley, Courtney D., Volkova, Svitlana, Rounds, Jeremiah, Charles-Smith, Lauren E., Harrison, Joshua J., Mendoza, Joshua A., and Han, Keith S. Thu . "Biosurveillance Using Clinical Diagnoses and Social Media Indicators in Military Populations". United States. doi:10.2172/1345453. https://www.osti.gov/servlets/purl/1345453.
@article{osti_1345453,
title = {Biosurveillance Using Clinical Diagnoses and Social Media Indicators in Military Populations},
author = {Corley, Courtney D. and Volkova, Svitlana and Rounds, Jeremiah and Charles-Smith, Lauren E. and Harrison, Joshua J. and Mendoza, Joshua A. and Han, Keith S.},
abstractNote = {U.S. military influenza surveillance uses 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 nontraditional 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.},
doi = {10.2172/1345453},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Feb 23 00:00:00 EST 2017},
month = {Thu Feb 23 00:00:00 EST 2017}
}

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