A critical review of emerging technologies for tackling COVID-19 pandemic.
Elliot Mbunge,Boluwaji Akinnuwesi,Stephen G. Fashoto,Andile Simphiwe Metfula,Petros Mashwama +4 more
- Vol. 3, Iss: 1, pp 25-39
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TLDR
A comprehensive review of emerging technologies for tackling COVID‐19 with emphasis on the features, challenges, and country of domiciliation shows that performance of the emerging technologies is not yet stable and there is a strong need for the emergence of a robust computationally intelligent model for early differential diagnosis.Abstract:
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.read more
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Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis.
Alfonso J. Rodriguez-Morales,Jaime A. Cardona-Ospina,Estefanía Gutiérrez-Ocampo,Rhuvi Villamizar-Peña,Yeimer Holguin-Rivera,Juan Pablo Escalera-Antezana,Lucia Elena Alvarado-Arnez,D. Katterine Bonilla-Aldana,Carlos Franco-Paredes,Andrés F. Henao-Martínez,Alberto Paniz-Mondolfi,Guillermo J. Lagos-Grisales,Eduardo Ramírez-Vallejo,José Antonio Suárez,Lysien I. Zambrano,Wilmer E. Villamil-Gómez,Graciela J. Balbin-Ramon,Ali A. Rabaan,Harapan Harapan,Kuldeep Dhama,Hiroshi Nishiura,Hiromitsu Kataoka,Tauseef Ahmad,Ranjit Sah +23 more
TL;DR: A systematic literature review with meta-analysis was performed using three databases to assess clinical, laboratory, imaging features, and outcomes of COVID-19 confirmed cases, finding that this virus brings a huge burden to healthcare facilities, especially in patients with comorbidities.