当前COVID-19和未来大流行的物联网:一项探索性研究。

IF 5.9 Q1 Computer Science Journal of Healthcare Informatics Research Pub Date : 2020-01-01 Epub Date: 2020-11-12 DOI:10.1007/s41666-020-00080-6
Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M Parizi, Mohsen Dorodchi, Maria Valero, Hamid R Arabnia
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引用次数: 196

摘要

近年来,物联网(IoT)作为一个新的研究课题在各种学术和工业学科中获得了令人信服的研究基础,特别是在医疗保健领域。物联网革命通过整合技术、经济和社会前景,正在重塑现代医疗体系。它正在将医疗保健系统从传统的发展为更加个性化的医疗保健系统,通过这种系统,患者可以更容易地进行诊断、治疗和监测。当前由新型严重呼吸综合征冠状病毒2引起的大流行的全球挑战是自1918年流感大流行爆发以来最严重的全球公共卫生危机。撰写本文时,全球新冠肺炎确诊病例已超过3100万例。自大流行开始以来,不同的研究界迅速努力利用各种技术来应对这一全球性威胁,物联网技术是这一领域的先驱之一。在COVID-19的背景下,通过早期诊断、监测患者并在患者康复后实施规定的方案,利用物联网/联网设备/应用程序来降低COVID-19向他人传播的可能性。本文综述了物联网技术在新冠肺炎疫情中的作用,并从早期诊断、隔离时间和恢复后三个主要阶段,综述了物联网技术在新冠肺炎疫情防控中的最新架构、平台、应用和工业解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.

In recent years, the Internet of Things (IoT) has gained convincing research ground as a new research topic in a wide variety of academic and industrial disciplines, especially in healthcare. The IoT revolution is reshaping modern healthcare systems by incorporating technological, economic, and social prospects. It is evolving healthcare systems from conventional to more personalized healthcare systems through which patients can be diagnosed, treated, and monitored more easily. The current global challenge of the pandemic caused by the novel severe respiratory syndrome coronavirus 2 presents the greatest global public health crisis since the pandemic influenza outbreak of 1918. At the time this paper was written, the number of diagnosed COVID-19 cases around the world had reached more than 31 million. Since the pandemic started, there has been a rapid effort in different research communities to exploit a wide variety of technologies to combat this worldwide threat, and IoT technology is one of the pioneers in this area. In the context of COVID-19, IoT-enabled/linked devices/applications are utilized to lower the possible spread of COVID-19 to others by early diagnosis, monitoring patients, and practicing defined protocols after patient recovery. This paper surveys the role of IoT-based technologies in COVID-19 and reviews the state-of-the-art architectures, platforms, applications, and industrial IoT-based solutions combating COVID-19 in three main phases, including early diagnosis, quarantine time, and after recovery.

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来源期刊
Journal of Healthcare Informatics Research
Journal of Healthcare Informatics Research Computer Science-Computer Science Applications
CiteScore
13.60
自引率
1.70%
发文量
12
期刊介绍: Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics.  The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications.   Topics include but are not limited to: ·         healthcare software architecture, framework, design, and engineering;·         electronic health records·         medical data mining·         predictive modeling·         medical information retrieval·         medical natural language processing·         healthcare information systems·         smart health and connected health·         social media analytics·         mobile healthcare·         medical signal processing·         human factors in healthcare·         usability studies in healthcare·         user-interface design for medical devices and healthcare software·         health service delivery·         health games·         security and privacy in healthcare·         medical recommender system·         healthcare workflow management·         disease profiling and personalized treatment·         visualization of medical data·         intelligent medical devices and sensors·         RFID solutions for healthcare·         healthcare decision analytics and support systems·         epidemiological surveillance systems and intervention modeling·         consumer and clinician health information needs, seeking, sharing, and use·         semantic Web, linked data, and ontology·         collaboration technologies for healthcare·         assistive and adaptive ubiquitous computing technologies·         statistics and quality of medical data·         healthcare delivery in developing countries·         health systems modeling and simulation·         computer-aided diagnosis
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