A critical review of emerging technologies for tackling Covid ‐19 pandemic

Datos Bibliográficos

ID21253967
AutoresElliot Mbunge (0000-0003-4504-6697, University of Eswatini, autor de correspondencia), Boluwaji Akinnuwesi (0000-0002-7755-6061, University of Eswatini), Stephen G Fashoto (0000-0002-2919-9434, University of Eswatini), Andile Metfula (University of Eswatini), Andile S Metfula (0009-0009-3663-3380, Department of Computer Science, Faculty of Science and Engineering University of Eswatini Manzini Swaziland), Petros Mashwama (0000-0003-4378-6245, University of Eswatini)
Año2021
Volumen3
Número1
Páginas25-39
Fecha de publicación2021-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaHuman Behavior and Emerging Technologies (JOURNAL)
Identificadores de la revistaISSN: 2578-1863 • E-ISSN: 2578-1863
EditorialWiley (PUBLISHER • GB)
DOI10.1002/hbe2.237
PMID33363278
OpenAlexW3108908728
IdiomaEN
Citas recibidas16
Referencias citadas41

COVID-19 pandemic affects people in various ways and continues to spread globally. Researches are ongoing to develop vaccines and traditional methods of Medicine and Biology have been applied in diagnosis and treatment. Though there are success stories of recovered cases as of November 10, 2020, there are no approved treatments and vaccines for COVID-19. As the pandemic continues to spread, current measures rely on prevention, surveillance, and containment. In light of this, emerging technologies for tackling COVID-19 become inevitable. Emerging technologies including geospatial technology, artificial intelligence (AI), big data, telemedicine, blockchain, 5G technology, smart applications, Internet of Medical Things (IoMT), robotics, and additive manufacturing are substantially important for COVID-19 detecting, monitoring, diagnosing, screening, surveillance, mapping, tracking, and creating awareness. Therefore, this study aimed at providing a comprehensive review of these technologies for tackling COVID-19 with emphasis on the features, challenges, and country of domiciliation. Our results show that performance of the emerging technologies is not yet stable due to nonavailability of enough COVID-19 dataset, inconsistency in some of the dataset available, nonaggregation of the dataset due to contrasting data format, missing data, and noise. Moreover, the security and privacy of people's health information is not totally guaranteed. Thus, further research is required to strengthen the current technologies and there is a strong need for the emergence of a robust computationally intelligent model for early differential diagnosis of COVID-19

Big data · Business · Computer security · Data mining · Data science · Emerging technologies · Health care · Pandemic · Political science · Telemedicine · The Internet · World Wide Web · Artificial Intelligence in Healthcare and Education · Computer Science · COVID-19 diagnosis using AI · COVID-19 Digital Contact Tracing · Medicine · Artificial Intelligence