The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.
The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.
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DOI：
10.1371/journal.pone.0146600
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Deshpande A
中科院分区：
文献类型：
--
作者：
Margevicius KJ;Generous N;Abeyta E;Althouse B;Burkom H;Castro L;Daughton A;Del Valle SY;Fairchild G;Hyman JM;Kiang R;Morse AP;Pancerella CM;Pullum L;Ramanathan A;Schlegelmilch J;Scott A;Taylor-McCabe KJ;Vespignani A;Deshpande A
传染病的流行病学建模对于疾病管理非常重要，需要通过在操作环境中更好地描述模型来促进其常规实施。目前缺乏一个标准化的模型表征过程，允许选择或手动比较现有的模型及其结果。一个关键的需求是一个通用的框架，以促进模型的描述和理解其功能。洛斯阿拉莫斯国家实验室（LANL）开发了一个全面的框架，可用于在操作环境中表征传染病模型。该框架是通过一个专题专家小组的共识制定的。在本文中，我们描述的框架，其应用模型的特性，和生物监测分析资源目录（BARD; http：//brd.bsvgateway.org/brd/）的发展，以促进快速选择的具体传染病/传染病的操作模型。我们提供这个框架和相关的数据库的利益相关者的传染病建模领域作为一个工具，标准化模型描述和促进流行病学模型的使用。
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.