| Title: |
The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance |
| Authors: |
Margevicius, Kristen J.; Generous, Nicholas; Abeyta, Esteban; Althouse, Ben; Burkom, Howard; Castro, Lauren; Daughton, Ashlynn; Del Valle, Sara Y.; Fairchild, Geoffrey; Hyman, James M.; Kiang, Richard; Morse, Andrew P.; Pancerella, Carmen M.; Pullum, Laura; Ramanathan, Arvind; Schlegelmilch, Jeffrey; Scott, Aaron; Taylor-McCabe, Kirsten J.; Vespignani, Alessandro; Deshpande, Alina |
| Publisher Information: |
Public Library of Science |
| Publication Year: |
2016 |
| Collection: |
Columbia University: Academic Commons |
| Subject Terms: |
Communicable diseases--Control; Databases; Epidemiology--Mathematical models; Epidemiology; Information technology; Public health; Los Alamos National Laboratory |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://doi.org/10.7916/D8K35THW |
| DOI: |
10.7916/D8K35THW |
| Availability: |
https://doi.org/10.7916/D8K35THW |
| Accession Number: |
edsbas.8B5DC1C7 |
| Database: |
BASE |