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The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

ABSTRACT: 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.

SUBMITTER: Margevicius KJ

PROVIDER: S-EPMC4731202 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

Margevicius Kristen J KJ Generous Nicholas N Abeyta Esteban E Althouse Ben B Burkom Howard H Castro Lauren L Daughton Ashlynn A Del Valle Sara Y SY Fairchild Geoffrey G Hyman James M JM Kiang Richard R Morse Andrew P AP Pancerella Carmen M CM Pullum Laura L Ramanathan Arvind A Schlegelmilch Jeffrey J Scott Aaron A Taylor-McCabe Kirsten J KJ Vespignani Alessandro A Deshpande Alina A

PloS one 20160128 1

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) ...[more]

PMID: 26820405

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Dataset Information

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

Publications

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

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