Modeling of Infectious Disease Agent Study Information Technology

传染病病原体研究信息技术建模

• 批准号: 8481558
• 负责人: Philip C Cooley
• 金额: $ 190.71万
• 依托单位: RESEARCH TRIANGLE INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8481558
• 关键词: Address; Animals; Award; Awareness; Cataloging; Catalogs; Communicable Diseases; Communities; Computer Simulation; Consultations; Data; Databases; Development; Disease Outbreaks; Event; Focus Groups; Goals; Growth; Health Communication; High Performance Computing; Human; Imagery; Industry; Informatics; Information Technology; Instruction; International; Internet; Interview; Investments; Knowledge; Methods; Modeling; Needs Assessment; Online Systems; Ontology; Persons; Phase; Pilot Projects; Probability; Process; Production; Public Health; Research; Research Activity; Research Infrastructure; Research Personnel; Research Support; Resources; Science; Structure; Students; Study models; Surface; Testing; Vocabulary; Work; computer science; computerized tools; data modeling; experience; improved; infectious disease model; innovation; interoperability; meetings; model development; next generation; outreach; repository; research study; response; software development; supercomputer; symposium; tool; vector

RTI International proposes an Information Technology Resource (ITR) for the Modeling of Infectious Disease Agent Study (MIDAS) that builds on the extensive development effort that was led by RTI in the pilot MIDAS Network. The activities for the ITR will be driven by the needs of the modelers in the Research Groups and Centers of Excellence. We propose to use the CMMI approach to managing software development and a process that includes users to harden and test software developed by the modelers, develop computational tools for MIDAS researchers and other audiences, extend the Model Repository capabilities initiated in the pilot phase, integrate existing ontologies and develop new MIDAS-specific vocabulary as required, and provide computational surge capacity required to respond to policymaker urgent requests and high- performance computing assistance to the research groups. For data development, we propose to manage both structured and unstructured data and make available to non-MIDAS users all unrestricted data, a number of innovations and enhancements to the synthesized human and animal databases that were both initiated during the pilot phase, and develop data standards for interoperability between models. A number of dissemination and outreach approaches are proposed, including the implementation of a method to evaluate the information needs of target audiences to increase awareness of MIDAS among additional research and educational communities. We propose to not only address the activities that have been outlined for theITR, but also propose innovative enhancements, including new visualization tools, web process servers to provide customized databases, and geospatial host-vector probability surfaces. The goal of the ITR will be to use our knowledge in computer science, geospatial and non-geospatial data, computational modeling, and health communication, and project-support capabilities to respond to and anticipate needs of MIDAS researchers and, in general, drive and support the growth and maturation of infectious disease modeling. MIDAS will help prepare the nation to respond to outbreaks of infectious disease by providing policymakers and public health officials with reliable and timely information that can be used either in planning for an event or in responding to repercussions from an event. RELEVANCE (See instructions): MIDAS will help prepare the nation to respond to outbreaks of infectious disease by providing policymakers and public health officials with reliable and timely information that can be used in planning. The goal of the ITR will be to use knowledge in computer science, geospatial and non-geospatial data, computer modeling, and health communication, and project-support capabilities to respond to and anticipate needs of MIDAS researchers and, in general, drive and support the growth and maturation of infectious disease modeling.

RTI International 提出了用于传染病建模的信息技术资源 (ITR) 代理研究 (MIDAS) 建立在 RTI 在试点 MIDAS 中领导的广泛开发工作的基础上 网络。 ITR 的活动将由研究组和建模者的需求驱动 卓越中心。我们建议使用 CMMI 方法来管理软件开发和 过程包括用户强化和测试建模者开发的软件、开发计算 为 MIDAS 研究人员和其他受众提供的工具，扩展了在 试点阶段，整合现有本体并根据需要开发新的 MIDAS 特定词汇，以及 提供响应决策者紧急请求和高要求所需的计算激增能力 为研究小组提供性能计算援助。对于数据开发，我们建议管理 结构化和非结构化数据，并向非 MIDAS 用户提供所有非限制数据， 对合成的人类和动物数据库进行了许多创新和增强 在试点阶段启动，并制定模型之间互操作性的数据标准。一些 提出了传播和外联方法，包括实施一种评估方法 目标受众的信息需求，以提高对 MIDAS 在其他研究和研究中的认识 教育社区。我们建议不仅要解决 ITR 概述的活动， 而且还提出了创新的增强功能，包括新的可视化工具、Web 流程服务器以提供 定制数据库和地理空间主向量概率面。 ITR 的目标是利用我们的 计算机科学、地理空间和非地理空间数据、计算建模和健康方面的知识 沟通和项目支持能力，以响应和预测 MIDAS 研究人员的需求 一般来说，推动和支持传染病模型的发展和成熟。迈达斯将提供帮助 通过为政策制定者和公共卫生提供支持，让国家做好应对传染病爆发的准备 官员拥有可靠且及时的信息，可用于规划活动或做出响应 事件的影响。 相关性（参见说明）： MIDAS 将通过为政策制定者提供帮助，帮助国家做好应对传染病爆发的准备 和公共卫生官员提供可用于规划的可靠和及时的信息。的目标 ITR 将利用计算机科学、地理空间和非地理空间数据、计算机建模、 和健康沟通以及项目支持能力，以响应和预测 MIDAS 的需求 总体而言，研究人员推动和支持传染病模型的发展和成熟。