Special Issue Information

Dear Colleagues,

The COVID-19 outbreak was declared a pandemic by the WHO in March 2022. Currently, the number of infected people is continuing to rise, with the statistics, as of September 2022, standing at 606,993,050 infections and more than 6 million deaths. The fight to control and mitigate the outbreak, as well as manage possible future ones, requires the development of innovative technologies. Application of such technologies spans a large field, from novel devices for the early identification of diseases (e.g., intelligent and fast swabs) to devices for monitoring and tracing contacts. Such technologies consequently require novel, innovative computational methods and technologies to leverage knowledge from data. This Special Issue aims to shed light on possible novel technologies for data production and for data analysis, storage, and ingestion.

Prof. Dr. Pietro Hiram Guzzi
Prof. Dr. S. Arumugam
Prof. Dr. Ludovico Abenavoli
Guest Editors

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Keywords

data science
data analytics
data munging
artificial intelligence
technologies for data production

Published Papers (2 papers)

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Open AccessReview

On the Adoption of Modern Technologies to Fight the COVID-19 Pandemic: A Technical Synthesis of Latest Developments

Abdul Majeed

and

Xiaohan Zhang

COVID 2023, 3(1), 90-123; https://doi.org/10.3390/covid3010006 - 16 Jan 2023

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Abstract

In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize the spread of COVID-19, and to control its pitfalls for the general public. Without such technologies, bringing the pandemic under control would have been tricky and slow. Consequently, exploration of pandemic status, and devising appropriate mitigation strategies would also be difficult. In this paper, we present a comprehensive analysis of community-beneficial digital technologies that were employed to fight the COVID-19 pandemic. Specifically, we demonstrate the practical applications of ten major digital technologies that have effectively served mankind in different ways during the pandemic crisis. We have chosen these technologies based on their technical significance and large-scale adoption in the COVID-19 arena. The selected technologies are the Internet of Things (IoT), artificial intelligence(AI), natural language processing(NLP), computer vision (CV), blockchain (BC), federated learning (FL), robotics, tiny machine learning (TinyML), edge computing (EC), and synthetic data (SD). For each technology, we demonstrate the working mechanism, technical applications in the context of COVID-19, and major challenges from the perspective of COVID-19. Our analysis can pave the way to understanding the roles of these digital COVID-19-fighting technologies that can be used to fight future infectious diseases to prevent global crises. Moreover, we discuss heterogeneous data that have significantly contributed to addressing multiple aspects of the ongoing pandemic when fed to the aforementioned technologies. To the best of the authors’ knowledge, this is a pioneering work on community-beneficial and transformative technologies in the context of COVID-19 with broader coverage of studies and applications. Full article

(This article belongs to the Special Issue Innovative Technologies for COVID-19)

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Open AccessBrief Report

Using Smart Devices for Monitoring Elderly Patients in Rural Areas of Calabria after COVID-19 Vaccination: Experiences within the SI4CARE Project

COVID 2023, 3(2), 124-130; https://doi.org/10.3390/covid3020007 - 17 Jan 2023

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Abstract

The SI4CARE project is a transnational project which aims to develop both strategy and action plans to improve health and social care in the Adriatic–Ionian region. Starting from a survey of the status quo, each partner has developed some pilots to support the development and monitoring of the policy actions. In particular, partner number three, the Municipality of Miglierina, designed and developed a pilot related to the use of wearable devices for monitoring elderly patients in rural areas. With the collaboration of the complex unity of primary care (UCCP) of the Reventino area, the pilot is based on the use of smart wearable devices to monitor some parameters of older adults after their vaccinations for flu and covid. This paper focused on the design and implementation of the system. It describes its application in the Municipality of Miglierina. Presentation of the results and a discussion of the strengths and weaknesses will be presented, in detail, in future work. Finally, the possibility of extending the experiment to other Adriatic–Ionian regions is addressed. Full article

(This article belongs to the Special Issue Innovative Technologies for COVID-19)

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