The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.
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...
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4731202?pdf=render |
| _version_ | 1828401209088671744 |
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| author | Kristen J Margevicius Nicholas Generous Esteban Abeyta Ben Althouse Howard Burkom Lauren Castro Ashlynn Daughton Sara Y Del Valle Geoffrey Fairchild James M Hyman Richard Kiang Andrew P Morse Carmen M Pancerella Laura Pullum Arvind Ramanathan Jeffrey Schlegelmilch Aaron Scott Kirsten J Taylor-McCabe Alessandro Vespignani Alina Deshpande |
| author_facet | Kristen J Margevicius Nicholas Generous Esteban Abeyta Ben Althouse Howard Burkom Lauren Castro Ashlynn Daughton Sara Y Del Valle Geoffrey Fairchild James M Hyman Richard Kiang Andrew P Morse Carmen M Pancerella Laura Pullum Arvind Ramanathan Jeffrey Schlegelmilch Aaron Scott Kirsten J Taylor-McCabe Alessandro Vespignani Alina Deshpande |
| author_sort | Kristen J Margevicius |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T09:43:08Z |
| format | Article |
| id | doaj.art-865bddd8998d4f929b0299afd542cca8 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T09:43:08Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-865bddd8998d4f929b0299afd542cca82022-12-22T01:53:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01111e014660010.1371/journal.pone.0146600The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.Kristen J MargeviciusNicholas GenerousEsteban AbeytaBen AlthouseHoward BurkomLauren CastroAshlynn DaughtonSara Y Del ValleGeoffrey FairchildJames M HymanRichard KiangAndrew P MorseCarmen M PancerellaLaura PullumArvind RamanathanJeffrey SchlegelmilchAaron ScottKirsten J Taylor-McCabeAlessandro VespignaniAlina DeshpandeEpidemiological 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.http://europepmc.org/articles/PMC4731202?pdf=render |
| spellingShingle | Kristen J Margevicius Nicholas Generous Esteban Abeyta Ben Althouse Howard Burkom Lauren Castro Ashlynn Daughton Sara Y Del Valle Geoffrey Fairchild James M Hyman Richard Kiang Andrew P Morse Carmen M Pancerella Laura Pullum Arvind Ramanathan Jeffrey Schlegelmilch Aaron Scott Kirsten J Taylor-McCabe Alessandro Vespignani Alina Deshpande The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. PLoS ONE |
| title | The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. |
| title_full | The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. |
| title_fullStr | The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. |
| title_full_unstemmed | The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. |
| title_short | The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. |
| title_sort | biosurveillance analytics resource directory bard facilitating the use of epidemiological models for infectious disease surveillance |
| url | http://europepmc.org/articles/PMC4731202?pdf=render |
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