Open Access Open Access  Restricted Access Subscription Access

Information Technology in COVID-19 Prevention

Bharat Mali, Akhil Lotlikar

Abstract


The era we have these days offers us ammunition everyday, fight this pandemic in ways we in no way formerly notion viable. There are several fitness associated applications which facilitate daily display your health and you may live related everyday a consultant every day everyday even without stepping out of doors. The rapid emergence of the new coronavirus in China has brought the entire world to a standstill. In China's Hubei province, Wuhan, the outbreak was initially discovered in December of that year. The new coronavirus spread quickly to other parts of the world after leaving the mainland of China. After a few months, the sickness started to be reported in cases in more than 150 countries. The creation of panic affected the entire world. The confirmed cases were recorded as 89206 in the weeks that followed, and the global value was quite 812 (29th February 2020). This study examines emerging technologies used daily which lessen COVID-19 threats and relevant challenges every day associated with era improvement, improvement, and implementation. It also affords details and guidelines on how information structures and generation professionals can assist combat the COVID-19 epidemic. This study facilitates everyday promote future studies and technological development day-to-day produce better solutions, day-to-day address the COVID-19 epidemic and destiny epidemics.


Keywords


COVID-19, information technology, IoT, Deep learning, prevention

Full Text:

PDF

References


Quora. Has technology helped during Covid19 pandemic? [Online]. Available from https://www.quora.com/Has-technology-helped-during-Covid19-pandemic

Negro-Calduch E, Azzopardi-Muscat N, Nitzan D, Pebody R, Jorgensen P, Novillo-Ortiz D. Health Information Systems in the COVID-19 Pandemic: A Short Survey of Experiences and Lessons Learned From the European Region. Frontiers in public health. 2021; 9.

Wikipedia. Covid-19 [Online]. Available from https://en.wikipedia.org/wiki/COVID-19

He W, Zhang ZJ, Li W. Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic. International journal of information management. 2021 Apr 1;57: 102287.

Alam M, Parveen R, Khan IR, Hamdard J. Role of information technology in Covid-19 prevention. International Journal of Business Education and Management Studies. 2020; 5(1): 65-78.

Quora. How is technology helping us fight the coronavirus? [Online]. Available from https://www.quora.com/How-is-technology-helping-us-fight-the-coronavirus.

Rasmussen University. What Is Information Technology? A Beginner’s Guide to the World of IT [Online]. Available from https://www.rasmussen.edu/degrees/technology/blog/what-is-

information-technology/

Wong J, Goh QY, Tan Z, Lie SA, Tay YC, Ng SY, Soh CR. Preparing for a COVID-19 pandemic: a review of operating room outbreak response measures in a large tertiary hospital in Singapore. Canadian Journal of Anesthesia/Journal canadien d'anesthésie. 2020 Jun; 67(6): 732-45.

Wang G, Zhang Y, Zhao J, Zhang J, Jiang F. Mitigate the effects of home confinement on children during the COVID-19 outbreak. The Lancet. 2020 Mar 21; 395(10228): 945-7.

Liu S, Yang L, Zhang C, Xiang YT, Liu Z, Hu S, Zhang B. Online mental health services in China during the COVID-19 outbreak. The Lancet Psychiatry. 2020 Apr 1; 7(4):e17-8.

Rao AS, Vazquez JA. Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone–based survey when cities and towns are under quarantine. Infection Control & Hospital Epidemiology. 2020 Jul; 41(7): 826-30.

Kamel Boulos MN, Geraghty EM. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. International journal of health geographics. 2020 Dec; 19(1): 1-2.

Asadzadeh A, Samad-Soltani T, Rezaei-Hachesu P, Salahzadeh Z. Low-cost interactive device for virtual reality. In2020 6th international conference on Web research (ICWR) 2020 Apr 22 (pp. 38-42). IEEE.

Wang SS, Teo WZ, Teo WZ, Chai YW. Virtual reality as a bridge in palliative care during COVID-19. Journal of palliative medicine. 2020 Jun 1; 23(6): 756.

Allam Z, Jones DS. On the coronavirus (COVID-19) outbreak and the smart city network: universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management. InHealthcare 2020 Feb 27 (Vol. 8, No. 1, p. 46). MDPI.

Htun HL, Lim DW, Kyaw WM, Loh WN, Lee LT, Ang B, Chow A. Responding to the COVID-

outbreak in Singapore: staff protection and staff temperature and sickness surveillance systems. Clinical Infectious Diseases. 2020 Oct 15; 71(8): 1947-52.

Chundakkadan R, Ravindran R. Information flow and COVID-19 recovery. World development. 2020 Dec 1; 136: 105112.

Sousa-Pinto B, Anto A, Czarlewski W, Anto JM, Fonseca JA, Bousquet J. Assessment of the impact of media coverage on COVID-19–related google trends data: Infodemiology Study. Journal of medical Internet research. 2020 Aug 10; 22(8): e19611.

Raef B, Ferdousi R. A review of machine learning approaches in assisted reproductive technologies. Acta Informatica Medica. 2019 Sep; 27(3): 205.

Zhavoronkov A, Aladinskiy V, Zhebrak A, Zagribelnyy B, Terentiev V, Bezrukov DS, Polykovskiy D, Shayakhmetov R, Filimonov A, Orekhov P, Yan Y. Potential 2019-nCoV 3C-like protease inhibitors designed using generative deep learning approaches.

Jin Z, Du X, Xu Y, Deng Y, Liu M, Zhao Y, Zhang B, Li X, Zhang L, Peng C, Duan Y. Structure-based drug design, virtual screening and high-throughput screening rapidly identify antiviral leads targeting COVID-19.

Mohamed K, Yazdanpanah N, Saghazadeh A, Rezaei N. Computational drug discovery and repurposing for the treatment of COVID-19: a systematic review. Bioorganic chemistry. 2021 Jan 1; 106: 104490.

Peng M, Yang J, Shi Q, Ying L, Zhu H, Zhu G, Ding X, He Z, Qin J, Wang J, Yan H. Artificial intelligence application in COVID-19 diagnosis and prediction.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Current Trends in Information Technology

  • eISSN: 2249-4707
  • ISSN: 2348-7895