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


Margevicius, Kristen J, Generous, Nicholas, Abeyta, Esteban, Althouse, Ben, Burkom, Howard, Castro, Lauren, Daughton, Ashlynn, Del Valle, Sara Y, Fairchild, Geoffrey, Hyman, James M et al (show 10 more authors) (2016) The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. PLOS ONE, 11 (1). e0146600-.

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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.

Item Type: Article
Uncontrolled Keywords: Animals, Humans, Communicable Diseases, Models, Statistical, Communicable Disease Control, Epidemiological Monitoring
Depositing User: Symplectic Admin
Date Deposited: 17 Mar 2017 11:57
Last Modified: 19 Jan 2023 07:09
DOI: 10.1371/journal.pone.0146600
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3006465
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