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

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）在不同用户群体中的大规模试点人群中的实施来实现这一目标。该项目将重点验证该技术的性能、可用性和可靠性，以改进分析，生成感染预测算法。该平台旨在支持个人、组织、社区和社会层面的决策，以应对COVID-19大流行。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的接触追踪工具。第三个目标涉及制定支持数据交换的全面技术集成方法和战略。本项目收集的数据将被识别并安全地传输到NIH数据中心。

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.