Design of an intelligent prevention and control platform for major public health emergencies based on a new generation of information technology

Cunhong Li, Yunpeng Liu, Yan Xu
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Abstract

: As the COVID-19 has spread over the globe and become a pandemic authority, it has relied heavily on social isolation as a primary strategy for containment. When individuals are confined to their homes, digital technology plays a critical role in supporting their social, professional, and economic activities. There is a pressing need for contemporary healthcare facilities, particularly in developing nations where rural locations have lack high-quality hospitals and medical professionals. For the upcoming years, public health, human civilization, and the global economy will continue to be impacted by this unique coronavirus. Due to the Internet of Things (IoT) health care and automation services, people's health and satisfaction can be preserved when they remain socially isolated. In this paper, the COVID-19 prevention and control using the Internet of Things (CPC-IoT) platform has been suggested to enable social distance in the pandemic. The most crucial metrics for critical care are body temperature, pulse rate, and oxygen saturation, and this research proposes an IoT-based system that uses these variables in real-time. Using the suggested IoT architecture, we offer a short-and long-term approach for managing pandemic situations. Each architectural layer's concerns have been addressed by providing guidelines for design implementation. Covid-19 can be prevented and controlled utilizing an IoT platform that includes symptom diagnosis and quarantine monitoring steps. Compared to other commercially available devices, the system's results are confirmed to be accurate. IoT-based technologies can be useful in the event of a COVID-19 viral epidemic.
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基于新一代信息技术的重大突发公共卫生事件智能防控平台设计
随着COVID-19在全球蔓延并成为流行病权威,它严重依赖社会隔离作为遏制的主要策略。当个人被限制在家中时,数字技术在支持他们的社会、专业和经济活动方面发挥着关键作用。迫切需要现代医疗保健设施,特别是在农村地区缺乏高质量医院和医疗专业人员的发展中国家。在未来几年,公共卫生、人类文明和全球经济将继续受到这种独特冠状病毒的影响。由于物联网(IoT)医疗保健和自动化服务,人们可以在社会隔离的情况下保持健康和满意度。本文提出利用物联网(CPC-IoT)平台防控新冠肺炎,实现疫情防控中的社交距离。重症监护最关键的指标是体温、脉搏率和氧饱和度,本研究提出了一种基于物联网的系统,可以实时使用这些变量。使用建议的物联网架构,我们提供了管理大流行情况的短期和长期方法。通过为设计实现提供指导方针,已经解决了每个体系结构层的关注点。利用包括症状诊断和隔离监测步骤在内的物联网平台,可以预防和控制Covid-19。与其他市售设备相比,该系统的结果被证实是准确的。在COVID-19病毒流行的情况下,基于物联网的技术可能会很有用。
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