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: 10274145
• 负责人: PRADUMAN JAIN
• 金额: $ 109.83万
• 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 2021-01-13
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10274145
• 关键词: Action Research; COVID-19; COVID-19 pandemic; Caring; Communities; Community Actions; Contact Tracing; Data; Decision Making; Development; 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; 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的应用程序、数据集成和经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技术进行接触者追踪。 Vibrent Health将通过加强其Vibrent数字健康解决方案平台（DHSP）的实施来实现这一目标，以在不同的用户群体中进行大规模的试点。 该项目将专注于验证该技术在优化分析方面的性能、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疫情应对决策。 第一个目标涉及创新，开发一种可以区分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的接触追踪工具。 第三个目标涉及开发全面的技术集成方法和策略来支持数据交换。 在该项目下收集的数据将被去识别并安全地传输到NIH数据中心。