Internet of Things for Current COVID-19 and Future Pandemics: An
Exploratory Study
- URL: http://arxiv.org/abs/2007.11147v2
- Date: Fri, 25 Sep 2020 14:47:25 GMT
- Title: Internet of Things for Current COVID-19 and Future Pandemics: An
Exploratory Study
- Authors: Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Mohsen
Dorodchi, Maria Valero, Hamid R. Arabnia
- Abstract summary: The Internet of Things (IoT) has drawn convincing research ground as a new research topic in a wide variety of academic and industrial disciplines.
The current global challenge of the pandemic caused by the novel severe contagious respiratory syndrome coronavirus 2 presents the greatest global public health crisis since the pandemic outbreak of 1918.
The number of diagnosed COVID-19 cases around the world had reached more than 31 million.
- Score: 4.785691596724824
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In recent years, the Internet of Things (IoT) has drawn 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 contagious 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.
Related papers
- Internet of Things Technologies for Managing COVID-19 Pandemic:
Recommendations and Proposed Framework [0.0]
The Internet of Things, often known as IoT, is an innovative technology that connects digital devices all around us.
One of the most important aspects that this IoT can be used is, managing various aspects of healthcare during global pandemics.
This study aims to review various use cases of IoT towards managing pandemics especially in terms of COVID-19.
arXiv Detail & Related papers (2021-10-20T01:50:06Z) - Rapid COVID-19 Risk Screening by Eye-region Manifestations [64.6260390977642]
There are more and more ocular manifestations that have been reported in the COVID-19 patients as growing clinical evidence.
We propose a new fast screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras.
Our model for COVID-19 rapid prescreening have the merits of the lower cost, fully self-performed, non-invasive, importantly real-time, and thus enables the continuous health surveillance.
arXiv Detail & Related papers (2021-06-12T01:56:10Z) - COVID-19 Digital Contact Tracing Applications and Techniques: A Review
Post Initial Deployments [2.05040847923906]
coronavirus disease 2019 (COVID-19) is a severe global pandemic that has claimed millions of lives and continues to overwhelm public health systems.
To increase the effectiveness of contact tracing, countries across the globe are leveraging advancements in mobile technology and Internet of Things.
arXiv Detail & Related papers (2021-02-25T10:18:40Z) - IoT Platform for COVID-19 Prevention and Control: A Survey [6.889788474065788]
coronavirus disease 2019 (COVID-19) has evolved into an unprecedented pandemic.
Internet of things (IoT) platform is preferred to be utilized to achieve this goal.
This paper presents how the IoT could be incorporated into the epidemic prevention and control system.
arXiv Detail & Related papers (2020-10-15T22:43:03Z) - Understanding the temporal evolution of COVID-19 research through
machine learning and natural language processing [66.63200823918429]
The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world.
We used multiple data sources, i.e., PubMed and ArXiv, and built several machine learning models to characterize the landscape of current COVID-19 research.
Our findings confirm the types of research available in PubMed and ArXiv differ significantly, with the former exhibiting greater diversity in terms of COVID-19 related issues.
arXiv Detail & Related papers (2020-07-22T18:02:39Z) - A Survey on Applications of Artificial Intelligence in Fighting Against
COVID-19 [75.84689958489724]
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak.
As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic.
This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19.
arXiv Detail & Related papers (2020-07-04T22:48:15Z) - The challenges of deploying artificial intelligence models in a rapidly
evolving pandemic [10.188172055060544]
We argue that both basic and applied research are essential to accelerate the potential of AI models.
This perspective may provide a glimpse into how the global scientific community should react to combat future disease outbreaks more effectively.
arXiv Detail & Related papers (2020-05-19T21:11:48Z) - Remote health monitoring and diagnosis in the time of COVID-19 [51.01158603315544]
Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Pandemic has driven incentives to innovate and enhance or create new routes for providing healthcare services at distance.
arXiv Detail & Related papers (2020-05-18T08:54:38Z) - Visualising COVID-19 Research [4.664989082015335]
We develop a novel automated theme-based visualisation method.
It combines advanced data modelling of large corpora, information mapping and trend analysis.
It provides a top-down and bottom-up browsing and search interface for quick discovery of topics and research resources.
arXiv Detail & Related papers (2020-05-13T15:45:14Z) - When Wireless Communication Faces COVID-19: Combating the Pandemic and
Saving the Economy [93.08344893433639]
The year 2020 is experiencing a global health and economic crisis due to the COVID-19 pandemic.
Countries across the world are using digital technologies to fight this global crisis.
We show how these technologies are helping to combat this pandemic, including monitoring of the virus spread.
We discuss the challenges faced by wireless technologies, including privacy, security, and misinformation.
arXiv Detail & Related papers (2020-05-12T12:27:29Z) - Mapping the Landscape of Artificial Intelligence Applications against
COVID-19 [59.30734371401316]
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization.
We present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence to tackle many aspects of the COVID-19 crisis.
arXiv Detail & Related papers (2020-03-25T12:30:33Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.