Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance
Abstract
In recent years, biosurveillance has become the buzzword under which a diverse set of ideas and activities regarding detecting and mitigating biological threats are incorporated depending on context and perspective. Increasingly, biosurveillance practice has become global and interdisciplinary, requiring information and resources across public health, One Health, and biothreat domains. Even within the scope of infectious disease surveillance, multiple systems, data sources, and tools are used with varying and often unknown effectiveness. Evaluating the impact and utility of state-of-the-art biosurveillance is, in part, confounded by the complexity of the systems and the information derived from them. We present a novel approach conceptualizing biosurveillance from the perspective of the fundamental data streams that have been or could be used for biosurveillance and to systematically structure a framework that can be universally applicable for use in evaluating and understanding a wide range of biosurveillance activities. Moreover, the Biosurveillance Data Stream Framework and associated definitions are proposed as a starting point to facilitate the development of a standardized lexicon for biosurveillance and characterization of currently used and newly emerging data streams. Criteria for building the data stream framework were developed from an examination of the literature, analysis of information on operational infectious diseasemore »
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Defense Systems and Analysis Division
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Biosciences Division
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division; Defense Threat Reduction Agency (DTRA)
- OSTI Identifier:
- 1627667
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- PLoS ONE
- Additional Journal Information:
- Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 1932-6203
- Publisher:
- Public Library of Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; 59 BASIC BIOLOGICAL SCIENCES; Infectious disease surveillance; public and occupational health; disease surveillance; epidemiology; communication in health care; health services administration; global health; plant pathology
Citation Formats
Margevicius, Kristen J., Generous, Nicholas, Taylor-McCabe, Kirsten J., Brown, Mac, Daniel, W. Brent, Castro, Lauren, Hengartner, Andrea, and Deshpande, Alina. Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance. United States: N. p., 2014.
Web. doi:10.1371/journal.pone.0083730.
Margevicius, Kristen J., Generous, Nicholas, Taylor-McCabe, Kirsten J., Brown, Mac, Daniel, W. Brent, Castro, Lauren, Hengartner, Andrea, & Deshpande, Alina. Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance. United States. https://doi.org/10.1371/journal.pone.0083730
Margevicius, Kristen J., Generous, Nicholas, Taylor-McCabe, Kirsten J., Brown, Mac, Daniel, W. Brent, Castro, Lauren, Hengartner, Andrea, and Deshpande, Alina. Thu .
"Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance". United States. https://doi.org/10.1371/journal.pone.0083730. https://www.osti.gov/servlets/purl/1627667.
@article{osti_1627667,
title = {Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance},
author = {Margevicius, Kristen J. and Generous, Nicholas and Taylor-McCabe, Kirsten J. and Brown, Mac and Daniel, W. Brent and Castro, Lauren and Hengartner, Andrea and Deshpande, Alina},
abstractNote = {In recent years, biosurveillance has become the buzzword under which a diverse set of ideas and activities regarding detecting and mitigating biological threats are incorporated depending on context and perspective. Increasingly, biosurveillance practice has become global and interdisciplinary, requiring information and resources across public health, One Health, and biothreat domains. Even within the scope of infectious disease surveillance, multiple systems, data sources, and tools are used with varying and often unknown effectiveness. Evaluating the impact and utility of state-of-the-art biosurveillance is, in part, confounded by the complexity of the systems and the information derived from them. We present a novel approach conceptualizing biosurveillance from the perspective of the fundamental data streams that have been or could be used for biosurveillance and to systematically structure a framework that can be universally applicable for use in evaluating and understanding a wide range of biosurveillance activities. Moreover, the Biosurveillance Data Stream Framework and associated definitions are proposed as a starting point to facilitate the development of a standardized lexicon for biosurveillance and characterization of currently used and newly emerging data streams. Criteria for building the data stream framework were developed from an examination of the literature, analysis of information on operational infectious disease biosurveillance systems, and consultation with experts in the area of biosurveillance. To demonstrate utility, the framework and definitions were used as the basis for a schema of a relational database for biosurveillance resources and in the development and use of a decision support tool for data stream evaluation.},
doi = {10.1371/journal.pone.0083730},
journal = {PLoS ONE},
number = 1,
volume = 9,
place = {United States},
year = {Thu Jan 02 00:00:00 EST 2014},
month = {Thu Jan 02 00:00:00 EST 2014}
}
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