分布式物联网分诊装置在发展中国家传染病管理中的适用性:以COVID-19为例

R. Ogu, L. Uzoechi, Yusuf U. Mshelia, Izuchukwu Azubuike Erike, Chinomso D. Okoronkwo
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引用次数: 0

摘要

医学大流行扰乱人类活动,威胁人类的生存。在大流行病的背景下,卫生保健服务和人员往往会被卫生干预措施压垮。当前,新冠肺炎大流行给世界经济带来困扰。本文介绍了基于物联网$(\mathbf{IoT})$技术的医疗保健交付架构的第一阶段。本文提出的体系结构包括物理层、通信层和云层。该架构考虑了尼日利亚等发展中国家的特点,那里电力不足,通信带宽有限,互联网的服务质量很差。在这项工作中开发的$\mathbf{IoT}$分类架构模型旨在基于对患者$\mathbf{IoT}$设备更新的重要健康信号的比较分析,解决有限的医疗设施(如床位、呼吸机、医疗专业人员等)分配的优先级问题。在这项工作中,重点放在建筑的物理层上。这样,除了体系结构之外,还开发了物理分类设备的用例图。预计在全球卫生保健服务中适当实施这一架构将长期有助于管理和尽量减少COVID-19等大流行病的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applicability of Distributed IoT-powered Triage Units in the Management of Infectious Diseases in Developing Countries: The COVID-19 case
Medical pandemics disrupt human activities and threaten the existence of man. Oftentimes, health care delivery services and personnel become overwhelmed by health interventions in the context of pandemics. Currently, the COVID-19 respiratory health pandemic has troubled the world economy. This paper presents the Phase One of a health care delivery architecture based on the Internet of Things $(\mathbf{IoT})$ technology. The architecture proposed herein comprises of three layers: physical, communication and cloud. The architecture considered the peculiarity of developing countries like Nigeria, where there is inadequate electricity and limited communication bandwidth with poor Quality of Services $(\mathbf{QoS})$ of the Internet. The $\mathbf{IoT}$ triage architectural model developed in this work aims to address priority on assignment of the limited health facilities such as bed spaces, ventilators, medical professionals, etc., based on comparative analytics on vital health signals updates from $\mathbf{IoT}$ devices of patients. In this work, much emphasis is placed on the physical layer of the architecture. By this, a use case diagram for the physical triage outfit is developed in addition to the architecture. It is expected that the proper implementation of this architecture in health care delivery services across the globe will go a long in managing and minimizing the effects of pandemics like the COVID-19.
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