Abstract
The COVID-19 pandemic is a threat not only to the health of millions of population, but also to the stability of global infrastructure and economies. The disease introduced a unavoidable burden on healthcare systems that cannot be efficiently dealt with the existing facilities or responses based on traditional approaches. Mostly, it is believed that a thorough clinical and common response can only be mounted by using intelligence derived from a variety of data sources to better utilize limited healthcare resources, provide personalized patient management plans, inform policy and clinical trials. This paper introduces some of the most important challenges in responding to COVID-19 and shows how each of them can be addressed by recent developments in digital technologies. It concludes that the integration of these techniques into local, national, and international healthcare systems will save lives and propose specific methods by which implementation can happen swiftly and efficiently. The paper also proposes a methodology to detect COVID-19 patients through their radiographs at early stage.
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References
D.S.W. Ting et al., Digital technology and COVID-19. Nat. Med. 26(4), 459–461 (2020)
S. Keesara, A. Jonas, K. Schulman, Covid-19 and health care’s digital revolution. N. Engl. J. Med. (2020)
X.B. Pan, Application of personal-oriented digital technology in preventing transmission of COVID-19, China [published online ahead of print, 2020 Mar 27]. Ir. J. Med. Sci., 1–2 (2020). https://doi.org/10.1007/s11845-020-02215-5
M. Ienca, E. Vayena, On the responsible use of digital data to tackle the COVID-19 pandemic. Nat. Med. 26(4), 463–464 (2020)
Z. Hu, et al., Artificial intelligence forecasting of covid-19 inchina. arXiv preprint arXiv:2002.07112 (2020)
Vaishya, R., et al., Artificial Intelligence (AI) applications for COVID-19 pandemic, in Diabetes Metabolic Syndrome: Clinical Research Reviews (2020)
T.T. Nguyen, Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions (2020)
https://www.id-hub.com/2020/04/08/responding-to-covid-19-with-ai-and-machine-learning/
M. Torky, A.E. Hassanien, COVID-19 blockchain framework: innovative approach. arXiv preprint arXiv:2004.06081 (2020)
J. Espinoza, K. Crown, O. Kulkarni, A guide to chatbots for COVID-19 screening at pediatric health care facilities. JMIR Public Health and Surveillance 6(2), e18808 (2020)
S. Carlaw, Impact on biometrics of Covid-19. Biometric Technol. Today 2020(4), 8–9 (2020)
S.T. Flanagan, D.H. Ballard, 3D Printed Face Shields: A Community Response to the COVID-19 Global Pandemic. Acad. Radiol. 27(6), 905 (2020)
R. Estrada, M. Arturo, The uses of drones in case of massive epidemics contagious diseases relief humanitarian aid: Wuhan-COVID-19 crisis. Available at SSRN 3546547 (2020)
G.-Z. Yang, et al., Combating COVID-19—The role of robotics in managing public health and infectious diseases (2020)
T. Greenhalgh, et al., Video consultations for covid-19 (2020)
M. Cinelli, et al., The covid-19 social media infodemic. arXiv preprint arXiv:2003.05004 (2020)
D. Soldani, Fighting COVID-19 with 5G enabled Technologies
https://www.healthimaging.com/topics/diagnostic-imaging/chest-x-ray-coronavirus-1st-us-patient
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Dubey, S., Parwekar, P. (2021). Combating COVID-19 Through Emerging Digital Technologies. In: Bhateja, V., Satapathy, S.C., Travieso-González, C.M., Aradhya, V.N.M. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 1407. Springer, Singapore. https://doi.org/10.1007/978-981-16-0171-2_14
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DOI: https://doi.org/10.1007/978-981-16-0171-2_14
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