Manuscript Number : IJSRST219328

Role of Socio-Informatics Participation in the COVID-19 Study: Highlighting Healthcare Arenas to Benefit from Information and Communication Technology

Authors(3) :-Dr. Sudheer Marar, Pramod K, Ashish L

The coronavirus 2019 (COVID-19) epidemic has had a profound impact on human health and well-being. Biomedical informatics is important in the efforts of the COVID-19 study and the delivery of health care to COVID-19 patients. Central to this effort is the participation of students who are actively engaged in other scientific or clinical issues. The purpose of this study is to highlight specific examples of COVID-19 research spots that can benefit from information technology. We present here two related approaches focusing informatics applications health care concealment. The first focuses on the use of Smart devices and related technologies on educating and monitoring, and the second focuses on the use of sensors in the domain. Few tools have been used to monitor patients and the community found to be helpful in creating information that provides acumen into the dominance of sickness and fitness needs. Digital tools have the power to connect people and to form active support groups. There exists need for tools that can include video conferencing, seamless communication, and more sophisticated functionalities such as virtual reality and augmented reality, designed for diverse audiences with the aim of promoting social interaction meanwhile maintaining physical distances. Modelling COVID-19 cases accumulated daily in regional variations illuminate the comparative effectiveness of different policy decisions and may point to countries like India, through policies that have succeeded in reducing the spread of epidemic. Rather than proposing any solid findings, it is our hope that this slice drives to inspire and make it easier for other gurus to embrace the COVID-19 research projects leveraging socio informatics on the base.

Authors and Affiliations

Dr. Sudheer Marar
Associate Professor and HOD, Department of MCA, Nehru College of Engineering and Research Centre, Kerala, India
Pramod K
Senior Assistant Professor, Department of MCA, Nehru College of Engineering and Research Centre, Kerala, India
Ashish L
Assistant Professor, Department of MCA, Nehru College of Engineering and Research Centre, Kerala, India

COVID-19, Epidemic, ICT, Informatics, New-Media, Sensors, Smart-Devices

  1. Le TT, Andreadakis Z, Kumar A, Román RG, Tollefsen S, Saville M, et al. The COVID-19 vaccine development landscape. Nat Rev Drug Discov. 2020;19:305–6.
  2. Cheng MP, Papenburg J, Desjardins M, Kanjilal S, Quach C, Libman M, et al. Diagnostic testing for severe acute respiratory syndrome-related Coronavirus-2: a narrative review. Ann Intern Med. 2020. In press. [PMC free article] [PubMed]
  3. Yan Y, Chang L, Wang L. Laboratory testing of SARS-CoV, MERS-CoV, and SARS-CoV-2 (2019-nCoV): Current status, challenges, and countermeasures. Rev Med Virol. 2020:e2106. [PMC free article] [PubMed]
  4. He X, Lau EHY, Wu P, Deng X, Wang J, Hao X, et al. Temporal dynamics in viral shedding and transmissibility of COVID-19. Nat Med. 2020. In press. [PubMed]
  5. Vashist SK. In Vitro Diagnostic Assays for COVID-19: Recent Advances and Emerging Trends. Diagnostics (Basel). 2020;10:202. [PMC free article] [PubMed]
  6. Li G, Clercq ED. Therapeutic options for the 2019 novel coronavirus (2019-nCoV) Nat Rev Drug Discov. 2020;19:149–150. doi: 10.1038/d41573-020-00016-0. [PubMed] [CrossRef] [Google Scholar]
  7. Chen R, Liang W, Jiang M, Guan W, Zhan C, Wang T, et al. Risk factors of fatal outcome in hospitalized subjects with coronavirus disease 2019 from a nationwide analysis in China. Chest. 2020. In press. [PMC free article] [PubMed]
  8. Hellewell J, Abbott S, Gimma A, Bosse NI, Jarvis CI, Russell TW, et al. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. Lancet Glob Health. 2020;8:e488–e496. doi: 10.1016/S2214-109X(20)30074-7. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  9. Park M, Cook AR, Lim JT, Sun Y, Dickens BL. A systematic review of COVID-19 epidemiology based on current evidence. J Clin Med. 2020;9:967. [PMC free article] [PubMed]
  10. Judson TJ, Odisho AY, Neinstein AB, Chao J, Williams A, Miller C, et al. Rapid design and implementation of an integrated patient self-triage and self-scheduling tool for COVID-19. J Am Med Inform Assoc. 2020. In press. [PMC free article] [PubMed]
  11. National Academies of Sciences E . Social Isolation and Loneliness in Older Adults: Opportunities for the Health Care System. 2020. [Google Scholar] Moore, J.H., Barnett, I., Boland, M.R. et al. Ideas for how informaticians can get involved with COVID-19 research. BioData Mining 13, 3 (2020).
  12. An BW, Heo S, Ji S, Bien F, Park J-U. Transparent and flexible fingerprint sensor array with multiplexed detection of tactile pressure and skin temperature. Nat Commun. 2018;9:1–10. doi: 10.1038/s41467-017-02088-w. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  13. Klein A, Magge A, O’Connor K, Cai H, Weissenbacher D, Gonzalez-Hernandez G. A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter. medRxiv. 2020. 10.1101/2020.04.19.20069948.
  14. Struik LL, Baskerville NB. The role of Facebook in crush the crave, a mobile- and social media-based smoking cessation intervention: qualitative framework analysis of posts. J Med Internet Res. 2014;16:e170. doi: 10.2196/jmir.3189. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  15. Nakhasi A, Passarella R, Bell SG, Paul MJ, Dredze M, Pronovost P. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text. 2012. Malpractice and malcontent: analyzing medical complaints in twitter. [Google Scholar]
  16. Broniatowski DA, Paul MJ, Dredze M. National and local influenza surveillance through twitter: an analysis of the 2012-2013 influenza epidemic. PLoS One. 2013;8:e83672. doi: 10.1371/journal.pone.0083672. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  17. Paul M, Dredze M. You are what your tweet: analyzing twitter for public health. Artif Intell. 2011;38:265–272. [Google Scholar]
  18. Kite J, Foley BC, Grunseit AC, Freeman B. Please like me: Facebook and public health communication. PLoS One. 2016;11:e0162765. doi: 10.1371/journal.pone.0162765. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  19. Platt T, Platt J, Thiel DB, Kardia SLR. Facebook advertising across an engagement Spectrum: a case example for public health communication. JMIR Public Health Surveill. 2016;2:e27. doi: 10.2196/publichealth.5623.
  20. Broniatowski DA, Dredze M, Paul MJ, Dugas A. Using social media to perform local influenza surveillance in an Inner-City hospital: a retrospective observational study. JMIR Public Health Surveill. 2015;1:e5. doi: 10.2196/publichealth.4472.
  21. Sharpe JD, Hopkins RS, Cook RL, Striley CW. Evaluating Google, twitter, and Wikipedia as tools for influenza surveillance using Bayesian change point analysis: a comparative analysis. JMIR Public Health Surveill. 2016;2:e161. doi: 10.2196/publichealth.5901.
  22. Pimpalkhute P, Patki A, Nikfarjam A, Gonzalez G. Phonetic spelling filter for keyword selection in drug mention mining from social media. AMIA Jt Summits Transl Sci Proc. 2014;2014:90–95.
  23. Bernardo TM, Rajic A, Young I, Robiadek K, Pham MT, Funk JA. Scoping review on search queries and social media for disease surveillance: a chronology of innovation. J Med Internet Res. 2013;15:e147. doi: 10.2196/jmir.2740.
  24. Aphinyanaphongs Y, Lulejian A, Brown DP, Bonneau R, Krebs P. Text classification for automatic detection of e-cigarette use and use for smoking cessation from twitter. Pac Symp Biocomput. 2016;21:480–491.
  25. Aramaki E, Maskawa S, Morita M. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. Edinburgh: Association for Computational Linguistics; 2011. Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter; pp. 1568–1576.

Publication Details

Published in : Volume 9 | Issue 3 | March-April 2021
Date of Publication : 2021-04-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 147-154
Manuscript Number : IJSRST219328
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Dr. Sudheer Marar, Pramod K, Ashish L, " Role of Socio-Informatics Participation in the COVID-19 Study: Highlighting Healthcare Arenas to Benefit from Information and Communication Technology", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 9, Issue 3, pp.147-154, March-April-2021.
Journal URL : https://ijsrst.com/IJSRST219328
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