Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 Jan;3(1):25-39.
doi: 10.1002/hbe2.237. Epub 2020 Dec 1.

A critical review of emerging technologies for tackling COVID-19 pandemic

Affiliations
Review

A critical review of emerging technologies for tackling COVID-19 pandemic

Elliot Mbunge et al. Hum Behav Emerg Technol. 2021 Jan.

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.

Keywords: COVID‐19; contact tracing; diagnoses; emerging technology; pandemic; screening; surveillance; tracking.

PubMed Disclaimer

Conflict of interest statement

The authors declare no potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Countries that applied AI in tackling COVID‐19

References

    1. Abdelhafid, Z. , Fouzi, H. , Abdelkader, D. , & Ying, S. (2020). Deep learning methods for forecasting COVID‐19 time‐Series data: A Comparative study. Chaos, Solitons & Fractals, 140, 1–13. - PMC - PubMed
    1. Abhimanyu, S. , Vineet, P. , & Oge, M. (2020). Artificial intelligence and COVID‐19: A multidisciplinary approach. Integrative Medicine Research, 9(3), 111–125. - PMC - PubMed
    1. Abolfazl, M. , Behzad, V. , & Kiara, M. (2020). GIS‐based spatial modeling of COVID‐19 incidence rate in the continental United States. Science of the Total Environment, 728(1), 67–75. - PMC - PubMed
    1. Agbehadji, I. E. , Bankole, O. A. , Alfred, B. , & Richard, C. M. (2020). Review of big data analytics, artificial intelligence and nature‐inspired computing models towards accurate detection of COVID‐19 pandemic cases and contact tracing. International Journal of Environmental Research and Public Health, 17(15), 1–16. - PMC - PubMed
    1. Aishwarya, K. , Puneet, K. , & Ankita, S. (2020). A review of modern technologies for tackling COVID‐19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 569–573. - PMC - PubMed

LinkOut - more resources