The paper discusses practical applications of digital technologies (e.g. Artificial Intelligence, Internet of Things, Big Data Analytics, Mobile Technologies etc.) on how COVID-19 pandemic and other contagion curve can be flattened. The background of the paper deals with issues around the novel COVID-19, the way different countries responded to it generally but with a focus on the application of digital technologies and its effects. The objective of the paper is to show how important digital technologies are being used to help flatten the curve of COVID-19 pandemic. More so, analysis of the digital technologies was also carried out. The methodology was hinged on facts analysis and observations based on what needs to be improved while leveraging on digital infrastructures to flatten the COVID-19 infection rate curve. Under the methodology, studies were conducted on randomly sampled countries which were analyzed and specific digital technologies were identified for regulations and standardization. Recommendations were made based on studies conducted in countries like South Korea, Taiwan etc. In conclusion, ICT related policies were identified and specific innovative digital technologies were identified for regulatory interventions and future standardization works. The candidate digital technologies identified are proposed for technical studies by relevant standards bodies e.g. International Telecommunications Union-Standardizations (ITU-T) is expected to create relevant Study Question based on the identified digital technologies and carry out studies leading to the standardization of the digital technologies. This will accelerate the flattening future contagion infection rate curve.
Published in | International Journal of Sustainable Development Research (Volume 7, Issue 1) |
DOI | 10.11648/j.ijsdr.20210701.11 |
Page(s) | 1-8 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Mobile Technologies, Industry 4.0, Big Data Analytics, Artificial Intelligence (AI), Internet of Things (IoT), COVID-19, E-readiness, E-health/Ehealth, ITU-T
[1] | Koulopoulos, T. and Palmer, N. (2001) ‘The X- economy: profiting from instant commerce’, Texere, June. |
[2] | Shapiro, C. and Varian, H. (1999) Information Rules: A Strategic Guide to the Network Economy, Harvard Business School Press, Boston, MA. |
[3] | World Health Organization, (2020) Sustainable Development Goals (SDGs) Source: https://www.who.int/sdg/targets/en/ [Accessed: 23rd June, 2020]. |
[4] | United Nations Conference on Trade and Development (UNCTAD), (2019), Digital Economy Report 2019 Value Creation and Capture: Implications for Developing Countries, United Nations Publications, Geneva. |
[5] | Bethscheider, Gerhard (2015). Barney, Randall (Ed.). "Satellite is vital for a unified, global, E-Health system. An SES Techcom Services Perspective". World Teleport Association. Source: https://www.worldteleport.org/news/249029/Satellite-Is-Vital-For-A-Unified-Global-e-Health-System...-An-SES-Techcom-Services-Perspective-.htm [Accessed: 12th April, 2020]. |
[6] | O. J. Kunle, O. A. Olubunmi and S. Sani, Internet of things prospect in Nigeria: Challenges and solutions, (2017) IEEE 3rd International Conference on Electro- Technology for National Development (NIGERCON), Owerri, pp. 736-745. |
[7] | International Telecommunications Union, (2020) Telecoms, Coronavirus and keeping the networks running: Opinion Source: https://news.itu.int/telecoms- coronavirus-and-keeping-the-networks-running-time-for-leadership/ [Accessed: 12th April, 2020]. |
[8] | Joaquin A. Blaya, Hamish S. F. Fraser, and Brian Holt, (2010), “EHealth Technologies Show Promise In Developing Countries”, (2010) Health Affairs Vol. 29, No. 2: E-Health in the Developing World Available at: https://www.healthaffairs.org/doi/full/10.1377/hlthaff.2009.0894 [Accessed: 1st July, 2020] 9 CNN (2020). |
[9] | https://edition.cnn.com/2020/04/04/asia/taiwan- coronavirus-response-who-intl-hnk/index.html [Accessed: 15th April, 2020]. |
[10] | C. Jason Wang, Chun Y. Ng and Robert H. Brook (2020), Response to COVID-19 in Taiwan Big Data Analytics, New Technology, and Proactive Testing Source: https://jamanetwork.com/journals/jama/fullarticle/27 62689?guestAccessKey=2a3c6994-9e10-4a0b-9f32-cc2fb55b61a5&utm_source=For_The_Media&utm_medi um=referral&utm_campaign=ftm_links&utm_content=tf l&utm_term=030320 [Accessed: 30th June, 2020]. |
[11] | International Telecommunications Union (2020), COVID-19: How Korea is using innovative technology and AI to flatten the curve Source: https://news.itu.int/covid-19-how-korea-is-using- innovative-technology-and-ai-to-flatten-the-curve/ [Accessed: 7th April, 2020]. |
[12] | Osong Health Technology Administration Complex (2019), Smart quarantine information system project, KCDC, Korea. Source: http://www.cdc.go.kr/contents.es?mid=a30301180000 [Accessed: 20th April, 2020]. |
[13] | ITU (2020), COVID-19: How Korea is using innovative technology and AI to flatten the curve Source: https://news.itu.int/covid-19-how-korea-is-using-innovative-technology-and-ai-to-flatten-the-curve/ [Accessed: 27th June, 2020]. |
[14] | D. Phillips, (2005), “Texas 9-1-1: Emergency telecommunications and the genesis of surveillance infrastructure," Telecommunications Policy, vol. 29, pp. |
[15] | European Commission (2021): Digital health technologies addressing the pandemic. Source: https://ec.europa.eu/digital-single-market/en/digital-health-technologies-addressing-pandemic [Accessed: 25th January, 2021]. |
APA Style
James Kunle Olorundare, Adebimpe Olubunmi Olorundare. (2021). Regulation and Standardization of Digital Technologies Used in Facilitating the Mitigation of COVID-19 Contagion. International Journal of Sustainable Development Research, 7(1), 1-8. https://doi.org/10.11648/j.ijsdr.20210701.11
ACS Style
James Kunle Olorundare; Adebimpe Olubunmi Olorundare. Regulation and Standardization of Digital Technologies Used in Facilitating the Mitigation of COVID-19 Contagion. Int. J. Sustain. Dev. Res. 2021, 7(1), 1-8. doi: 10.11648/j.ijsdr.20210701.11
AMA Style
James Kunle Olorundare, Adebimpe Olubunmi Olorundare. Regulation and Standardization of Digital Technologies Used in Facilitating the Mitigation of COVID-19 Contagion. Int J Sustain Dev Res. 2021;7(1):1-8. doi: 10.11648/j.ijsdr.20210701.11
@article{10.11648/j.ijsdr.20210701.11, author = {James Kunle Olorundare and Adebimpe Olubunmi Olorundare}, title = {Regulation and Standardization of Digital Technologies Used in Facilitating the Mitigation of COVID-19 Contagion}, journal = {International Journal of Sustainable Development Research}, volume = {7}, number = {1}, pages = {1-8}, doi = {10.11648/j.ijsdr.20210701.11}, url = {https://doi.org/10.11648/j.ijsdr.20210701.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsdr.20210701.11}, abstract = {The paper discusses practical applications of digital technologies (e.g. Artificial Intelligence, Internet of Things, Big Data Analytics, Mobile Technologies etc.) on how COVID-19 pandemic and other contagion curve can be flattened. The background of the paper deals with issues around the novel COVID-19, the way different countries responded to it generally but with a focus on the application of digital technologies and its effects. The objective of the paper is to show how important digital technologies are being used to help flatten the curve of COVID-19 pandemic. More so, analysis of the digital technologies was also carried out. The methodology was hinged on facts analysis and observations based on what needs to be improved while leveraging on digital infrastructures to flatten the COVID-19 infection rate curve. Under the methodology, studies were conducted on randomly sampled countries which were analyzed and specific digital technologies were identified for regulations and standardization. Recommendations were made based on studies conducted in countries like South Korea, Taiwan etc. In conclusion, ICT related policies were identified and specific innovative digital technologies were identified for regulatory interventions and future standardization works. The candidate digital technologies identified are proposed for technical studies by relevant standards bodies e.g. International Telecommunications Union-Standardizations (ITU-T) is expected to create relevant Study Question based on the identified digital technologies and carry out studies leading to the standardization of the digital technologies. This will accelerate the flattening future contagion infection rate curve.}, year = {2021} }
TY - JOUR T1 - Regulation and Standardization of Digital Technologies Used in Facilitating the Mitigation of COVID-19 Contagion AU - James Kunle Olorundare AU - Adebimpe Olubunmi Olorundare Y1 - 2021/01/30 PY - 2021 N1 - https://doi.org/10.11648/j.ijsdr.20210701.11 DO - 10.11648/j.ijsdr.20210701.11 T2 - International Journal of Sustainable Development Research JF - International Journal of Sustainable Development Research JO - International Journal of Sustainable Development Research SP - 1 EP - 8 PB - Science Publishing Group SN - 2575-1832 UR - https://doi.org/10.11648/j.ijsdr.20210701.11 AB - The paper discusses practical applications of digital technologies (e.g. Artificial Intelligence, Internet of Things, Big Data Analytics, Mobile Technologies etc.) on how COVID-19 pandemic and other contagion curve can be flattened. The background of the paper deals with issues around the novel COVID-19, the way different countries responded to it generally but with a focus on the application of digital technologies and its effects. The objective of the paper is to show how important digital technologies are being used to help flatten the curve of COVID-19 pandemic. More so, analysis of the digital technologies was also carried out. The methodology was hinged on facts analysis and observations based on what needs to be improved while leveraging on digital infrastructures to flatten the COVID-19 infection rate curve. Under the methodology, studies were conducted on randomly sampled countries which were analyzed and specific digital technologies were identified for regulations and standardization. Recommendations were made based on studies conducted in countries like South Korea, Taiwan etc. In conclusion, ICT related policies were identified and specific innovative digital technologies were identified for regulatory interventions and future standardization works. The candidate digital technologies identified are proposed for technical studies by relevant standards bodies e.g. International Telecommunications Union-Standardizations (ITU-T) is expected to create relevant Study Question based on the identified digital technologies and carry out studies leading to the standardization of the digital technologies. This will accelerate the flattening future contagion infection rate curve. VL - 7 IS - 1 ER -