论文标题
基于物联网的接触跟踪系统用于传染病：建筑和分析
IoT-based Contact Tracing Systems for Infectious Diseases: Architecture and Analysis
论文作者
论文摘要
最近的Covid-19大流行已成为对人类健康和福祉的主要威胁。非药物的干预措施（例如接触式示踪解决方案）对于包含共vid-19的传染病的扩散很重要。但是，当前的接触追踪解决方案被限制使用传感技术而分散，并以监视没有分析框架来评估有效性的个人之间的相互作用。因此，我们需要首先根据当今物联网（IoT）技术的上下文探索通用体系结构，以基于广泛的适用传感器。提出了针对基于物联网的接触追踪解决方案的新结构，并根据传统的流行病学模型分析了其疾病遏制的总体效率。拟议的工作旨在提供一个框架，以协助未来的设计和评估基于物联网的联系跟踪解决方案，并启动以数据为导向的集体努力，以打击当前和未来的传染病。
The recent COVID-19 pandemic has become a major threat to human health and well-being. Non-pharmaceutical interventions such as contact tracing solutions are important to contain the spreads of COVID-19-like infectious diseases. However, current contact tracing solutions are fragmented with limited use of sensing technologies and centered on monitoring the interactions between individuals without an analytical framework for evaluating effectiveness. Therefore, we need to first explore generic architecture for contact tracing in the context of today's Internet of Things (IoT) technologies based on a broad range of applicable sensors. A new architecture for IoT based solutions to contact tracing is proposed and its overall effectiveness for disease containment is analyzed based on the traditional epidemiological models with the simulation results. The proposed work aims to provide a framework for assisting future designs and evaluation of IoT-based contact tracing solutions and to enable data-driven collective efforts on combating current and future infectious diseases.
