DIGITAL HEALTH SOLUTIONS FOR COVID-19: COVID COMMUNITY ACTION AND RESEARCH ENGAGEMENT (COVID-CARE)

COVID-19 数字健康解决方案：COVID 社区行动和研究参与 (COVID-CARE)

• 批准号: 10380551
• 负责人: PRADUMAN JAIN
• 金额: $ 292.77万
• 依托单位: VIGNET, INC.
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-14 至 2021-09-13
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10380551
• 关键词: Action Research; COVID-19; COVID-19 pandemic; Caring; Communities; Community Actions; Contact Tracing; Data; Decision Making; Development; Differential Diagnosis; Goals; Health; Individual; Infection; Performance; Population; Secure; System; Technology; Testing; United States National Institutes of Health; Universities; base; coronavirus disease; data exchange; data hub; data integration; digital health; flu; innovation; machine learning algorithm; mobile application; prediction algorithm; respiratory; response; tool; usability; wireless fidelity

The goal of this project is to develop mobile applications, data integrations, and validated machine learning algorithms to identify COVID-19 and differentiate it from the flu, and to perform contact tracing using Wi-Fi technologies. Vibrent Health will accomplish this goal by enhancing their Vibrent Digital Health Solutions Platform (DHSP) implementation to large-scale pilot populations among diverse user groups. The project will focus on validating the technology’s performance, usability, and reliability in refinement of analytics to generate predictive algorithms for infection. The platform is intended to support individual, organizational, community, and societal-level decision-making in the COVID-19 pandemic response. The first objective involves innovation to develop a technology that can differentiate between COVID-19 and flu (or other respiratory illness). The second objective involves the development and testing of a Wi-Fi-based contact tracing tool using George Mason University’s enterprise Wi-Fi system. The third objective involves the development of a full technical integration approach and strategy to support data exchange. Data collected under this project will be deidentified and securely transmitted to an NIH data hub.

该项目的目标是开发移动应用程序、数据集成和经过验证的机器学习算法，以识别 COVID-19 并将其与流感区分开来，并使用 Wi-Fi 技术执行接触者追踪。 Vibrent Health 将通过加强其 Vibrent 数字健康解决方案平台 (DHSP) 在不同用户群体中的大规模试点人群的实施来实现这一目标。 该项目将重点验证该技术在分析细化方面的性能、可用​​性和可靠性，以生成感染预测算法。 该平台旨在支持个人、组织、社区和社会层面的 COVID-19 大流行应对决策。 第一个目标涉及创新，开发一种能够区分 COVID-19 和流感（或其他呼吸道疾病）的技术。 第二个目标涉及使用乔治梅森大学的企业 Wi-Fi 系统开发和测试基于 Wi-Fi 的接触者追踪工具。 第三个目标涉及开发支持数据交换的完整技术集成方法和策略。 该项目收集的数据将被去识别化并安全地传输到 NIH 数据中心。