참고문헌
- 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
- Arshad, M. (2020). COVID-19: It's time to be thankful to our ICT professionals. Information Technology & Electrical Engineering, 9(2), 23-31.
- 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
- 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
- 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
- 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/
- 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/
- 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
- 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
- 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
- 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
- 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
- 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
- Rouse, M. (2015). IoMT (Internet of Medical Things) or healthcare IoT. IoT Agenda.
- 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
- 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
- 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
- Hu, Z., Ge, Q., Li, S., Jin, L., & Xiong, M. (2020). Artificial intelligence forecasting of covid-19 in china. arXiv preprint arXiv:2002.07112.
- 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
- 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.
- Hopkins, J. (2020). Coronavirus Resource Center. Im Internet (Stand: 19.04. 2020). Available from: https://coronavirus.jhu.edu/data, 2020.
- 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.
- 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
- Otte, J. (2020). Coronavirus: UK manufacturers urged to consider switching to making ventilators. The Guardian, 15.
- 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
- 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
- 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
- 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
- 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
- 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/
- 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.
- 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.
- 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).
- 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
- Linder, B. Everything You Need to Know About 5G Risks. Available at: https://intengine.com/articles/post/everythingyou-need-to-know-about-5g-risks
- Xiaoxia, Q. (2020). 'How emerging technologies helped tackle COVID-19 in China. In World Economic Forum, April (Vol. 8).
- 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
- 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.
- 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
- Robbins, T., Hudson, S., Ray, P., Sankar, S., Patel, K., Randeva, H., & Arvanitis, T. N. (2020). COVID-19: A new digital dawn?.
- 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.
- 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
- Siriwardhana, Y., Gur, G., Ylianttila, M., & Liyanage, M. (2020). The role of 5G for digital healthcare against COVID19 pandemic: Opportunities and challenges. ICT Express.
- Whittaker, Z. (2020). Hundreds of academics back privacy-friendly coronavirus contact tracing apps. Techcrunch.
- 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.