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The Biosurveillance Analytics Resource Directory (BARD): Facilitating the use of epidemiological models for infectious disease surveillance

Journal Article · · PLoS ONE
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  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Santa Fe Inst. (SFI), Santa Fe, NM (United States)
  3. Johns Hopkins Univ., Laurel, MD (United States)
  4. Tulane Univ., New Orleans, LA (United States)
  5. National Aeronautics and Space Administration, Greenbelt, MD (United States)
  6. Univ. of Liverpool, Liverpool (United Kingdom); NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool (United Kingdom)
  7. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  8. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  9. Columbia Univ., New York, NY (United States)
  10. USDA APHIS Veterinary Services, Science, Technology, and Analysis Services, Fort Collins, CO (United States)
  11. Northeastern Univ., Boston, MA (United States)
  12. Univ. of Erlangen-Nuremberg (Germany)
+ Show Author Affiliations
Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process that allows selection or making manual comparisons of available models and their results is currently lacking. A key need is a universal framework to facilitate model description and understanding of its features. Los Alamos National Laboratory (LANL) has developed a comprehensive framework that can be used to characterize an infectious disease model in an operational context. The framework was developed through a consensus among a panel of subject matter experts. In this paper, we describe the framework, its application to model characterization, and the development of the Biosurveillance Analytics Resource Directory (BARD; http://brd.bsvgateway.org/brd/), to facilitate the rapid selection of operational models for specific infectious/communicable diseases. We offer this framework and associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC04-94AL85000; AC05-00OR22725; AC52-06NA25396
OSTI ID:
1246952
Alternate ID(s):
OSTI ID: 1266815
OSTI ID: 1267065
Report Number(s):
LA-UR--14-28011
Journal Information:
PLoS ONE, Journal Name: PLoS ONE Journal Issue: 1 Vol. 11; ISSN 1932-6203
Publisher:
Public Library of ScienceCopyright Statement
Country of Publication:
United States
Language:
English

References (25)

Spatial disease clusters: Detection and inference journal April 1995
The North American Animal Disease Spread Model: A simulation model to assist decision making in evaluating animal disease incursions journal December 2007
What is the role and contribution of models to management and research in the health services? A view from Europe journal March 1998
Modelling and costing BVD outbreaks in beef herds journal March 2004
Modeling targeted layered containment of an influenza pandemic in the United States journal March 2008
The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents journal April 2014
Accuracy of models for the 2001 foot-and-mouth epidemic journal March 2008
A systematic review of studies on forecasting the dynamics of influenza outbreaks journal December 2013
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm journal December 2012
The Timing and Targeting of Treatment in Influenza Pandemics Influences the Emergence of Resistance in Structured Populations journal February 2013
Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance journal January 2014
Disease Prediction Models and Operational Readiness journal March 2014
Influenza Forecasting in Human Populations: A Scoping Review journal April 2014
The Pandemic Influenza Policy Model: A Planning Tool for Military Public Health Officials journal June 2009
What is the role and contribution of models to management and research in the health services? A view from Europe journal March 1998
A standard protocol for describing individual-based and agent-based models journal September 2006
Science, epidemiological models and decision making journal March 2004
Executable cell biology journal November 2007
A public choice framework for controlling transmissible and evolving diseases journal December 2009
Models of foot-and-mouth disease journal June 2005
A weather-driven model of malaria transmission journal January 2004
EpiMAN-FMD: a decision support system for managing epidemics of vesicular disease: -EN- -FR- -ES- journal December 1999
Emergence of viral diseases: mathematical modeling as a tool for infection control, policy and decision making journal March 2010
The role of Mathematical Modeling in Evidence-Based Malaria Control journal August 2004
The Pandemic Influenza Policy Model: A Planning Tool for Military Public Health Officials journal June 2009

Cited By (3)

An approach to and web-based tool for infectious disease outbreak intervention analysis journal April 2017
An extensible framework and database of infectious disease for biosurveillance journal August 2017
Analytics for Investigation of Disease Outbreaks: Web-Based Analytics Facilitating Situational Awareness in Unfolding Disease Outbreaks
  • Velappan, Nileena; Daughton, Ashlynn Rae; Fairchild, Geoffrey
  • JMIR Public Health and Surveillance, Vol. 5, Issue 1 https://doi.org/10.2196/12032
journal January 2019

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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
60 APPLIED LIFE SCIENCES
decision making
disease surveillance
epidemiological models
infectious disease control
infectious disease epidemiology
infectious disease modeling
infectious disease surveillance
malaria
public and occupational health
spatial epidemiology