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Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic
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 curr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664752/ http://dx.doi.org/10.1007/s10257-022-00580-5 |
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author | Darbandi, Mehdi Alrasheedi, Adel F. Alnowibet, Khalid A. Javaheri, Danial Mehbodniya, Abolfazl |
author_facet | Darbandi, Mehdi Alrasheedi, Adel F. Alnowibet, Khalid A. Javaheri, Danial Mehbodniya, Abolfazl |
author_sort | Darbandi, Mehdi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9664752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96647522022-11-14 Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic Darbandi, Mehdi Alrasheedi, Adel F. Alnowibet, Khalid A. Javaheri, Danial Mehbodniya, Abolfazl Inf Syst E-Bus Manage Original Article 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. Springer Berlin Heidelberg 2022-11-15 /pmc/articles/PMC9664752/ http://dx.doi.org/10.1007/s10257-022-00580-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Darbandi, Mehdi Alrasheedi, Adel F. Alnowibet, Khalid A. Javaheri, Danial Mehbodniya, Abolfazl Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic |
title | Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic |
title_full | Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic |
title_fullStr | Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic |
title_full_unstemmed | Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic |
title_short | Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic |
title_sort | integration of cloud computing with the internet of things for the treatment and management of the covid-19 pandemic |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664752/ http://dx.doi.org/10.1007/s10257-022-00580-5 |
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