Combining Point-of-Care Diagnostics and Internet of Medical Things (IoMT) to Combat the COVID-19 Pandemic

Yang, Ting; Gentile, Mattia; Shen, Ching Fen; Cheng, Chao

doi:10.3390/diagnostics10040224

Cited by 116 publications

(71 citation statements)

References 4 publications

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“…Industry 4.0 can offer various innovations to the digital technology of media platforms to achieve unusual information. Industry 4.0 can achieve better risk management for emergent healthcare conditions of COVID-19 outbreaks ( Yang et al., 2020 ). The IoT application and technology provides smart healthcare with important opportunities to manage the crisis of COVID-19 on humanity.…”

Section: Results and How Disruptive Technologies And Methods Offer Bementioning

confidence: 99%

An intelligent framework using disruptive technologies for COVID-19 analysis

Abdel‐Basset

Chang

Nabeeh

2021

Technological Forecasting and Social Change

196

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Highlights A review of COVID-19 guidelines ensures the need of disruptive technologies. COVID-19 enforces healthcare system to find alternatives for patients' treatment. The disruptive technologies used to analyze and to restrict the spread of COVID-19. The study aids healthcare team to detect the plan of treatment remotely and safely. The analysis of COVID-19 patients ensures the importance of intelligent framework.

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Section: Results and How Disruptive Technologies And Methods Offer Bementioning

confidence: 99%

An intelligent framework using disruptive technologies for COVID-19 analysis

Abdel‐Basset

Chang

Nabeeh

2021

Technological Forecasting and Social Change

196

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“…These activities are possible via wireless communication and networking which consume bandwidth. The massive CIoT network transmits short packets by opportunistically searching the idle channels thus saving the bandwidth and utilizing the spectrum resource efficiently [8,9].…”

Section: Ciot Backgroundmentioning

confidence: 99%

“…Leaving behind the conventional treatment modalities, this technology gives opportunities to make significant advances in controlling COVID-19. The diagnosis, monitoring, tracking, and control of this crisis is carried out in real-time which includes daily new cases of the disease [9]. Since the entire population is affected, it is not easy to handle the situation by a few individuals, unless the live updates of data are available.…”

Section: Applications Of Ciomtmentioning

confidence: 99%

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Application of cognitive Internet of Medical Things for COVID-19 pandemic

Swayamsiddha

Mohanty

2020

Diabetes & Metabolic Syndrome: Clinical Research & Revi

161

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Background and aim: In the age of advanced digital technology, smart healthcare based on the Internet of Things (IoT) is gaining importance to deal with the current COVID-19 pandemic. In this paper, the novel application of cognitive radio (CR) based IoT specific for the medical domain referred to as Cognitive Internet of Medical Things (CIoMT) is explored to tackle the global challenge. This concept of CIoT is best suited to this pandemic as every person is to be connected and monitored through a massive network that requires efficient spectrum management. Methods: An extensive literature survey is conducted in the Google Scholar, Scopus, PubMed, Research Gate, and IEEE Xplore databases using the terms "COVID-19" and "Cognitive IoT" or "Corona virus" and "IoMT". The latest data and inputs from official websites and reports are used for further investigation and analysis of the application areas. Results: This review encompasses different novel applications of CIoMT for fighting the ongoing COVID-19 health crisis. The CR based dynamic spectrum allocation technique is the solution for accommodating a massive number of devices and a wide number of applications. The CIoMT platform enables real-time tracking, remote health monitoring, rapid diagnosis of the cases, contact tracking, clustering, screening, and surveillance thus, reducing the workload on the medical industry for prevention and control of the infection. The challenges and future research directions are also identified. Conclusions: CIoMT is a promising technology for rapid diagnosis, dynamic monitoring and tracking, better treatment and control without spreading the virus to others.

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“…13 In the current COVID-19 pandemic, IoT is expected to be useful in simultaneous monitoring, surveillance, early warning, prevention, and treatment. [14][15][16] In this study, we aimed to design and implement a remote management system (RMS) for Control and surveillance of echinococcosis by combining deworming devices, sensors, information technology, and available dynamic networking devices. The RMS is expected to realise longdistance deworming control, smooth statistical analysis and result display, and ultimately improve the e ciency and quality of control and surveillance of echinococcosis.…”

Section: Introductionmentioning

confidence: 99%

A Remote Management System for Control and Surveillance of Echinococcosis: Design and Implementation Based on Internet of Things

Shi-jie

Xiao

et al. 2020

Preprint

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Background: As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the Qinghai-Tibet Plateau, the harsh climate, low socio-economic status, poor overall hygiene, and remote and insufficient access to all owned dogs exacerbate the difficulty in implementing the ambitious control programme for echinococcosis. New methods and tools are urgently needed to increase the deworming coverage and frequency, promote real-time scientific surveillance, and prevent transmission of echinococcosis. Methods: We propose the remote management system (RMS) based on IoT as a novel tool to control smart deworming devices to deliver efficient PZQ baits to dogs regularly and automatically and also as a smart digital management platform to monitor, analyse, and display the epidemic trends of echinococcosis dynamically, in real time. The RMS is an excellent alternative to existing manual deworming methods and management for surveillance of echinococcosis.Results: The smart collars are fully capable of anti-collision, waterproof, and cold-proof performance, and the battery’s energy is sufficient. The RMS can accurately analyse the monitoring data and parameters including positive rates of canine faeces, and the prevalence of echinococcosis in the general population livestock, and children. The data of dogs deworming and surveillance for echinococcosis is able to be controlled using RMS and has expanded gradually in townships to the whole Hezuo region. A total of 48 administrators (3, 3, 8, 11, 23 at the provincial, municipal, county, township, village levels, respectively) participated in the questionnaire survey, with 93.8% of its overall satisfaction rate.Conclusion: The existing difficulties and challenges in the way of prevention and control for echinococcosis can partially be resolved using the innovative, IoT-based technologies and tools. The proposed RMS to advance the upgrade of existing manual prevention and control models for echinococcosis, especially in the current ongoing COVID-19 pandemic, as social distance and community blockade continue.

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Combining Point-of-Care Diagnostics and Internet of Medical Things (IoMT) to Combat the COVID-19 Pandemic

Cited by 116 publications

References 4 publications

An intelligent framework using disruptive technologies for COVID-19 analysis

An intelligent framework using disruptive technologies for COVID-19 analysis

Application of cognitive Internet of Medical Things for COVID-19 pandemic

A Remote Management System for Control and Surveillance of Echinococcosis: Design and Implementation Based on Internet of Things

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