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Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic
Information Systems and E-Business Management ( IF 2.775 ) Pub Date : 2022-11-15 , DOI: 10.1007/s10257-022-00580-5
Mehdi Darbandi , Adel F. Alrasheedi , Khalid A. Alnowibet , Danial Javaheri , Abolfazl Mehbodniya

The globe is now fighting the COVID-19 epidemic, and a cost-effective method to battle the outbreak is urgently required. In this era, the Internet of Things (IoT) offers healthcare systems or checks and discovers patients in epidemics to prevent the virus from spreading. In order to tackle the current COVID-19 pandemic, intelligent health care based on IoT is becoming increasingly vital in better digital technologies. This technology allows gadgets to link hospitals and other predefined sites to tackle this dilemma. The cognitive Internet of Medical Things (IoMT) is a potential technology for quick analysis, dynamic monitoring and control, improved therapy and management, and prevention of viral transmission. This technology can send a message to the hospital immediately in an emergency. Due to the importance of this subject, the influence of IoT-centered innovations in the management of COVID-19 is examined in this article. The three main areas, including early detection, viral prevention, and patient care, are considered in this paper. The results showed that using IoT, such as drones and robots, has been fruitful in reducing contact with patients and identifying disease symptoms. Also, they showed that the IoT wearable gadgets and the cloud platform to store the patient’s information have helped doctors track the patient’s condition.



中文翻译:

云计算与物联网的集成用于 COVID-19 大流行的治疗和管理

全球现在正在抗击 COVID-19 流行病,迫切需要一种具有成本效益的方法来抗击疫情。在这个时代,物联网(IoT)提供医疗保健系统或检查和发现流行病患者以防止病毒传播。为了应对当前的 COVID-19 大流行,基于物联网的智能医疗保健在更好的数字技术中变得越来越重要。该技术允许小工具将医院和其他预定义站点链接起来,以解决这一难题。认知医疗物联网 (IoMT) 是一种用于快速分析、动态监测和控制、改进治疗和管理以及预防病毒传播的潜在技术。这项技术可以在紧急情况下立即向医院发送消息。由于这个主题的重要性,本文研究了以物联网为中心的创新对 COVID-19 管理的影响。本文考虑了三个主要领域,包括早期检测、病毒预防和患者护理。结果表明,使用无人机和机器人等物联网在减少与患者的接触和识别疾病症状方面卓有成效。此外,他们还展示了物联网可穿戴设备和存储患者信息的云平台帮助医生跟踪患者的状况。在减少与患者的接触和识别疾病症状方面卓有成效。此外,他们还展示了物联网可穿戴设备和存储患者信息的云平台帮助医生跟踪患者的状况。在减少与患者的接触和识别疾病症状方面卓有成效。此外,他们还展示了物联网可穿戴设备和存储患者信息的云平台帮助医生跟踪患者的状况。

更新日期:2022-11-16
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