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The Role of Information and Communication Technology to Combat COVID-19 Pandemic: Emerging Technologies, Recent Developments and Open Challenges

  • Arshad, Muhammad (Deanship of e-Learning and Information Technology, Jazan University)
  • 투고 : 2021.04.05
  • 발행 : 2021.04.30

초록

The world is facing an unprecedented economic, social and political crisis with the spread of COVID-19. The Corona Virus (COVID-19) and its global spread have resulted in declaring a pandemic by the World Health Organization. The deadly pandemic of 21st century has spread its wings across the globe with an exponential increase in the number of cases in many countries. The developing and underdeveloped countries are struggling hard to counter the rapidly growing and widespread challenge of COVID-19 because it has greatly influenced the global economies whereby the underdeveloped countries are more affected by its devastating impacts, especially the life of the low-income population. Information and Communication Technology (ICT) were particularly useful in spreading key emergency information and helping to maintain extensive social distancing. Updated information and testing results were published on national and local government websites. Mobile devices were used to support early testing and contact tracing. The government provided free smartphone apps that flagged infection hotspots with text alerts on testing and local cases. The purpose of this research work is to provide an in depth overview of emerging technologies and recent ICT developments to combat COVID-19 Pandemic. Finally, the author highlights open challenges in order to give future research directions.

키워드

참고문헌

  1. Jnr, B. A. (2020). Use of telemedicine and virtual care for remote treatment in response to COVID-19 pandemic. Journal of Medical Systems, 44(7), 1-9. https://doi.org/10.1007/s10916-019-1451-x
  2. Arshad, M. (2020). COVID-19: It's time to be thankful to our ICT professionals. Information Technology & Electrical Engineering, 9(2), 23-31.
  3. Casado, R., & Younas, M. (2015). Emerging trends and technologies in big data processing. Concurrency and Computation: Practice and Experience, 27(8), 2078-2091. https://doi.org/10.1002/cpe.3398
  4. Kritikos, M. (2020). "Ten technologies to fight coronavirus", European Parliamentary Research Service. Available at: https://www.europarl.europa.eu/RegData/etudes/IDAN/2020/641543/EPRS_IDA(2020)64154 3_EN.pdf
  5. Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 419-422. https://doi.org/10.1016/j.dsx.2020.04.032
  6. Petropoulos, G. (2020). Artificial intelligence in the fight against COVID-19. Bruegel (23 March). Available at: https://www.bruegel.org/2020/03/artificial-intelligence-inthe-fight-against-covid-19/
  7. Lawrence, C. (2020). Is cloud computing the superhero of covid-19. Available at: https://www.codemotion.com/magazine/dev-hub/cloudmanager/cloud-computing-covid-19/
  8. Christaki, E. (2015). New technologies in predicting, preventing and controlling emerging infectious diseases. Virulence, 6(6), 558-565. https://doi.org/10.1080/21505594.2015.1040975
  9. Vidal-Alaball, J., Acosta-Roja, R., Hernandez, N. P., Luque, U. S., Morrison, D., Perez, S. N., ... & Verges, A. S. (2020). Telemedicine in the face of the COVID-19 pandemic. Atencion primaria, 52(6), 418. https://doi.org/10.1016/j.aprim.2020.04.003
  10. Jia, Q., Guo, Y., Wang, G., & Barnes, S. J. (2020). Big data analytics in the fight against major public health incidents (Including COVID-19): a conceptual framework. International journal of environmental research and public health, 17(17), 6161. https://doi.org/10.3390/ijerph17176161
  11. Wu, J. T., Leung, K., & Leung, G. M. (2020). Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. The Lancet, 395(10225), 689-697. https://doi.org/10.1016/s0140-6736(20)30260-9
  12. Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020). A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact. Ieee access, 8, 90225-90265. https://doi.org/10.1109/ACCESS.2020.2992341
  13. Hassija, V., Chamola, V., Saxena, V., Jain, D., Goyal, P., & Sikdar, B. (2019). A survey on IoT security: application areas, security threats, and solution architectures. IEEE Access, 7, 82721-82743.. https://doi.org/10.1109/ACCESS.2019.2924045
  14. Rouse, M. (2015). IoMT (Internet of Medical Things) or healthcare IoT. IoT Agenda.
  15. Rodrigues, J. J., Segundo, D. B. D. R., Junqueira, H. A., Sabino, M. H., Prince, R. M., Al-Muhtadi, J., & De Albuquerque, V. H. C. (2018). Enabling technologies for the internet of health things. Ieee Access, 6, 13129-13141. https://doi.org/10.1109/ACCESS.2017.2789329
  16. Rustam, F., Reshi, A. A., Mehmood, A., Ullah, S., On, B. W., Aslam, W., & Choi, G. S. (2020). COVID-19 future forecasting using supervised machine learning models. IEEE access, 8, 101489-101499. https://doi.org/10.1109/ACCESS.2020.2997311
  17. Jamshidi, M., Lalbakhsh, A., Talla, J., Peroutka, Z., Hadjilooei, F., Lalbakhsh, P., ... & Mohyuddin, W. (2020). Artificial intelligence and COVID-19: deep learning approaches for diagnosis and treatment. IEEE Access, 8, 109581-109595. https://doi.org/10.1109/ACCESS.2020.3001973
  18. Hu, Z., Ge, Q., Li, S., Jin, L., & Xiong, M. (2020). Artificial intelligence forecasting of covid-19 in china. arXiv preprint arXiv:2002.07112.
  19. Wang, C. J., Ng, C. Y., & Brook, R. H. (2020). Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing. Jama, 323(14), 1341-1342. https://doi.org/10.1001/jama.2020.3151
  20. Whitelaw, S., Mamas, M. A., Topol, E., & Van Spall, H. G. (2020). Applications of digital technology in COVID-19 pandemic planning and response. The Lancet Digital Health.
  21. Hopkins, J. (2020). Coronavirus Resource Center. Im Internet (Stand: 19.04. 2020). Available from: https://coronavirus.jhu.edu/data, 2020.
  22. Richardson, E., & Devine, C. (2020). Emergencies End Eventually: How to Better Analyze Human Rights Restrictions Sparked by the COVID-19 Pandemic Under the International Covenant on Civil and Political Rights. Eric Richardson & Colleen Devine, Emergencies End Eventually: How to Better Analyze Human Rights Restrictions Sparked by the COVID-19 Pandemic Under the International Covenant on Civil and Political Rights, 42.
  23. Mbunge, E. (2020). Integrating emerging technologies into COVID-19 contact tracing: Opportunities, challenges and pitfalls. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 1631-1636. https://doi.org/10.1016/j.dsx.2020.08.029
  24. Otte, J. (2020). Coronavirus: UK manufacturers urged to consider switching to making ventilators. The Guardian, 15.
  25. Maia Chagas, A., Molloy, J. C., Prieto-Godino, L. L., & Baden, T. (2020). Leveraging open hardware to alleviate the burden of COVID-19 on global health systems. PLoS biology, 18(4), e3000730. https://doi.org/10.1371/journal.pbio.3000730
  26. Chagas, A. M. (2018). Haves and have nots must find a better way: The case for open scientific hardware. PLoS biology, 16(9), e3000014. https://doi.org/10.1371/journal.pbio.3000014
  27. Jo, W., Hoashi, Y., Aguilar, L. L. P., Postigo-Malaga, M., Garcia-Bravo, J. M., & Min, B. C. (2019). A low-cost and small USV platform for water quality monitoring. HardwareX, 6, e00076. https://doi.org/10.1016/j.ohx.2019.e00076
  28. McNeil, D. (2020). Can smart thermometers track the spread of the coronavirus. The New York Times. Available at: https://www.nytimes.com/2020/03/18/health/coronavirusfever-thermometers.html
  29. Lee, I., Kovarik, C., Tejasvi, T., Pizarro, M., & Lipoff, J. B. (2020). Telehealth: helping your patients and practice survive and thrive during the COVID-19 crisis with rapid quality implementation. Journal of the American Academy of Dermatology, 82(5), 1213. https://doi.org/10.1016/j.jaad.2020.03.052
  30. D'mello, A. (2020). First IoT buttons shipped for rapid response to cleaning alerts-IoT Now-How to run an IoT enabled business.. Available from: https://www.iotnow.com/2020/03/24/101940-firstiot-buttons-shippedrap%id-response-cleaning-alerts/
  31. Pollock, K., Setzen, M., & Svider, P. F. (2020). Embracing telemedicine into your otolaryngology practice amid the COVID-19 crisis: an invited commentary. American journal of otolaryngology, 102490.
  32. Tanaka, M. J., Oh, L. S., Martin, S. D., & Berkson, E. M. (2020). Telemedicine in the era of COVID-19: the virtual orthopaedic examination. The Journal of bone and joint surgery. American volume.
  33. Li, P., Liu, X., Mason, E., Hu, G., Zhou, Y., Li, W., & Jalali, M. S. (2020). How telemedicine integrated into China's antiCOVID-19 strategies: case from a National Referral Center. BMJ health & care informatics, 27(3).
  34. Triantafillou, V., & Rajasekaran, K. (2020). A commentary on the challenges of telemedicine for head and neck oncologic patients during COVID-19. Otolaryngology-Head and Neck Surgery, 163(1), 81-82. https://doi.org/10.1177/0194599820923622
  35. Linder, B. Everything You Need to Know About 5G Risks. Available at: https://intengine.com/articles/post/everythingyou-need-to-know-about-5g-risks
  36. Xiaoxia, Q. (2020). 'How emerging technologies helped tackle COVID-19 in China. In World Economic Forum, April (Vol. 8).
  37. Li, D. (2019). 5G and intelligence medicine-how the next generation of wireless technology will reconstruct healthcare?. Precision clinical medicine, 2(4), 205-208. https://doi.org/10.1093/pcmedi/pbz020
  38. Kang, L., Li, Y., Hu, S., Chen, M., Yang, C., Yang, B. X., ... & Liu, Z. (2020). The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. The Lancet Psychiatry.
  39. Ye, Q., Zhou, J., & Wu, H. (2020). Using information technology to manage the COVID-19 pandemic: development of a technical framework based on practical experience in China. JMIR medical informatics, 8(6), e19515. https://doi.org/10.2196/19515
  40. Robbins, T., Hudson, S., Ray, P., Sankar, S., Patel, K., Randeva, H., & Arvanitis, T. N. (2020). COVID-19: A new digital dawn?.
  41. Arshad, M., Almufarreh, A., Noaman, K. M., & Saeed, M. N. Academic Semester Activities by Learning Management System during COVID-19 Pandemic: A Case of Jazan University.
  42. Bajpai, N., Biberman, J., & Ye, Y. (2020). ICTs and Public Health in the Context of a Pandemic. Available at: https://academiccommons.columbia.edu/doi/10.7916/d8-09teb732/download
  43. Siriwardhana, Y., Gur, G., Ylianttila, M., & Liyanage, M. (2020). The role of 5G for digital healthcare against COVID19 pandemic: Opportunities and challenges. ICT Express.
  44. Whittaker, Z. (2020). Hundreds of academics back privacy-friendly coronavirus contact tracing apps. Techcrunch.
  45. Troncoso, C., Payer, M., Hubaux, J. P., Salathe, M., Larus, J., Bugnion, E., & Pereira, J. (2020). Decentralized privacy-preserving proximity tracing. arXiv preprint arXiv:2005.12273.