Skip to main content
SpringerLink
Log in

Artificial Intelligence and Healthcare: The Effects of COVID-19 on Nigerians

  • Chapter
  • First Online:
The Effect of Coronavirus Disease (COVID-19) on Business Intelligence

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 334))

  • 1249 Accesses

Abstract

The purpose of this study is to determine the psychological and social impact of artificial intelligence and COVID-19 on Nigerians. A descriptive design was adopted for the study and four hundred and twenty-two Nigerians participated in the study. A self-administered questionnaire was used to obtain information on relevant issues and the gathered information was presented on frequency-percentage tables and charts while the hypotheses were tested using chi-square at 5% level of statistical error. Results from the study show that majority of the respondents 214 (50.7%) were not highly impacted on psychologically by Coronavirus and Artificial Intelligence while 208 (49.3%) were highly impacted on by artificial intelligence and Coronavirus with a mean score of 21.5 ± 1.9. Majority of the respondents 232 (55.0%) were less impacted on socially by Coronavirus and artificial intelligence while 190 (45.0%) were highly impacted on by Coronavirus and artificial intelligence with a mean score of 18.6 ± 2.3. The study discovered that majority of the respondents were not highly impacted psychologically by Coronavirus and Artificial Intelligence, majority of the respondents were less impacted socially by Coronavirus and artificial intelligence. The study revealed that there was a significant impact on the psychological welfare of Nigerians. Moreover, there was a significant impact on the social welfare of Nigerians. More studies should be carried out to identify the level of adoption of artificial intelligence in the management of pandemic in Nigeria.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. American Psychiatric Association: The psychological impact of COVID-19. Know the signs of anxiety, panic attacks, depression and suicide (2020). Retrieved from https://www.apa.org/topics/covid-19/psychological-impact

  2. Anjorin, A.A.: The coronavirus disease 2019 (COVID-19) pandemic: a review and an update on cases in Africa. Asian Pac. J. Trop. Med. 13, 1–5 (2020). https://doi.org/10.4103/1995-7645.281612

    Article  Google Scholar 

  3. Anazia, D., Awodipe, T., Adelowo, A.: Lagosians worry over the impact of curfew on livelihood (2020). Retrieved from https://t.guardian.ng/news/lagosians-worry-over-impact-of-curfew-on-livelihood/

  4. Barker, P.: The accidental robot that can crawl, swim and even charge itself (2019). Retrieved from https://www.redbull.com/ng-en/plant-energy-systems-velox-drone on March, 18, 2020

  5. Bennett, C.C., Hauser, K.: Artificial Intelligence framework for simulating clinical decision-making: a Markov decision process approach. Artif. Intell. Med. 57, 9–19 (2013)

    Article  Google Scholar 

  6. Coulson, J.: The Potential Social and Psychological Effects of Coronavirus Isolation on Families, (2020). Retrieved from https://ifstudies.org/blog/the-potential-social-and-psychological-effects-of-coronavirus-isolation-on-families

  7. Craven, M., Liu, L., Mysore, M., Wilson: COVID-19: implications for business McKinsey & Company 3, 1–8 (2020)

    Google Scholar 

  8. Coleman, D.: Social well-being (2020). Retrieved from https://econation.co.nz/social-well-being/. 24 May 2020

  9. Cicognani, E.: Social well-being. In: Michalos, A.C. (ed.) Encyclopedia of Quality of Life and Well-Being Research. Springer, Dordrecht (2014). Retrieved from https://doi.orrg/10.1007/978-94-007-0753-5_2797

  10. CNBC Africa: Nigeria to phase out lockdown in Abuja, Lagos and Ogun States, these are the details (2020). Retrieved from https://www.cnbcafrica.com/coronavirus/2020/04/27/nigeria-to-phase-out-lockdown-in-abuja-Lagos-ogun-states-these-are-the-details/

  11. David, J.C., Scott, J.B., Keith, M.O.: What is COVID-19? (2020) Retrieved from https://www.medscape.com/answers/2500114-197401/what-is-covid-19/. 24 May 2020

  12. Emi, I.: Nigeria records a rise in COVID-19 infections among doctors (2020). Retrieved from http://venturesafrica.com/nigeria-records-a-rise-in-covid-19-infections-among-doctors/. 24 May 2020

  13. Frankenfield, J.: Artificial intelligence (AI) (2020). Retrieved from https://www.investopedia.com/terms/a/artificial-intelligence-ai-asp. 24 May 2020

  14. Franck, L.: A brief history of robots (2013). Retrieved from parisinnovationreview.com/articles-en/a-brief-history-of-robots. 6 Feb 2020

  15. Fennema-Notestine, Ozyurt, Clark, … Brown: Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: effects of diagnosis, bias correction and slice location. Hum. Brain Mapp. 27, 99–113 (2006)

    Google Scholar 

  16. Flesia, L., Fietta, V., Colicino, E., Segatto, B., Monaro: Stable psychological traits predict perceived stress related to the COVID-19 (2020). Retrieved from https://doi.org/10.31234/osf.io/yb2h8

  17. Griffin, A.: Scientists create first ‘living robots’ in major breakthrough (2020). Retrieved from https://www.independent.co.uk/life-style/gadgets-and-tech/news/living-robots-xenobots-living-cells-frog-embryos-a9282251.html. 2 Feb 2020

  18. Habeeb, A.: Introduction to Artificial Intelligence. University of Mansoura (2017)

    Google Scholar 

  19. Kalu, B.: COVID-19 in Nigeria: a disease of hunger (2020). Retrieved from https://www.thelancet.com/journals/lanres/articles/PIIS2213-2600(20)30220-4/fulltext 24 May 2020

  20. Kazeem, Y.: Ordinary Nigerians are filling the country’s major social welfare gaps amid coronavirus (2020). Retrieved from https://www.google.com/amp/s/qz.com/africa/1843839/nigerias-coronavirus-lockdown-is-hitting-poor-families-hard/amp/

  21. KFF Health Tracking Poll: Conducted March 25–30, 2020 (2020). Retrieved from https://www.kff.org/report-section/the-implications-of-covid-19-for-mental-health-and-substance-use-issue-brief/#endnote_link_460419-4

  22. Koutronas, E.: Understanding social welfare: basic concepts and definitions (2017). Retrieved from https://www.researchgate.net/publication/315454313_Understanding_Social_Welfare_Basic_Concepts_and_Definitions 30 June 2020

  23. Lancer, V.Wim, Parolin, Z.: COVID-19, school closures and child poverty: a social crisis in the making. Lancet Public Health 5(5), 243–244 (2020)

    Article  Google Scholar 

  24. Langford, W.K., Ghassael, A., Gershenfeld, N.: Hierarchical Assembly of Self-replicating Spacecraft Using Distributed Mechanisms and Actuation in Digital Materials. Massachusetts Institute of Technology, Cambridge, MA. US20190077030A1 (2019)

    Google Scholar 

  25. Martineau, K.: Marshalling artificial intelligence in the fight against COVID-19 (2020). Retrieved from http://news.mit.edu/2020/mit-marshaling-artificial-intelligence-fight-against-covid-19-0519 24 May 2020

  26. NCDC:The national strategy to scale up access to coronavirus disease testing in Nigeria (2020). Retrieved from https://covid19.ncdc.gov.ng 24 May 2020

  27. Nnabiugwu, T.: Rwanda set to deploy robots in the fight against the COVID 19 pandemic (2020). Retrieved from http://venturesafrica.com/rwanda-set-to-deploy-robots-in-the-fight-against-the-COVID-19-pandemic/. 24 May 2020

  28. OHCHR Office of the High Commission Human Right: OHCHR in Nigeria 2019: human right context. OHCHR (2019). Retrieved from https://www.ohchr.org/EN/Countries/AfricaRegion/Pages/NGSummary2019.aspx

  29. Ojekunle, A.: Nigeria’s rising public debt continue to be a cause for concern at $83.88 billion Pulse (2019). Retrieved from https://www.pulse.ng/bi/finance/nigerias-rising-public-debt-continue-to-be-a-cause-for-concern-at-dollar8388-billion/4ftbkrp

  30. Onyedinefu, G.: Poorly equipped & unprotected more doctors risk contracting coronavirus (2020). Retrieved from https://businessday.ng/coronavirus/article/poorly-equipped-unprotected-more-doctors-risk-contracting-coronavirus/. 24 May 2020

  31. Onehi, V.: Nigeria: COVID-19 will worsen Nigeria’s unemployment crisis-expert (2020). Retrieved from https://allafrica.com/stories/202004020021.html. 24 May 2020

  32. Orjinmo, N.: Coronavirus lockdown: Nigerians cautious as restrictions eased in Lagos and Abuja (2020). Retrieved from https://www.bbc.com/news/world-52526923

  33. Okwumbu, R.: FG declares nationwide curfew 8 pm to 6 am (2020). Retrieved from https://nairametrics.com/2020/04/27/just-in-fg-declares-nationwide-curfew-8pm-to-6am/. 24 May 2020

  34. Panchal, N., Kamal, R., Orgera, K., Cox, C., Garfield, R., Hamel, L., Munana, Chidambaram, P.: The Implications of COVID-19 for Mental Health and Substance Use. (2020). Retrieved from https://www.kff.org/report-section/the-implications-of-covid-19-for-mental-health-and-substance-use-issue-brief/#endnote_link_460419-4

  35. Park, S.Ho., Han, K.: Methodologic Guide for evaluating clinical performance and the effect of artificial intelligence technology for medical diagnosis and prediction. Radiology 000, 1–10 (2018)

    Google Scholar 

  36. Pirouz, B., Haghshenas, S.Sina, Haghshenas, S.Sami, Piro, P.: Investigating a serious challenge in the sustainable development process: analysis of confirmed cases of COVID-19 (Newtype of coronavirus) through a Binary classification using artificial intelligence and regression analysis. Sustainability 12, 2427 (2020)

    Article  Google Scholar 

  37. Rajkumar, P.Ravi: COVID-19 and mental health: a review of the existing literature. Asian J. Psychiatry 52, 102066 (2020)

    Article  Google Scholar 

  38. Roser, M., Ritchie, H., Ortiz-Ospina, E., Hasell, J.: Statistics and Research: Coronavirus (COVID-19) Deaths (2020). Retrieved from https://ourworldindata.org/covid-deaths. 23 May 2020

  39. Robertson, I.: What is psychological wellbeing? (2020) Retrieved from https://www.robertsoncooper.com/blog/what-is-psychological-wellbeing/. 24 May 2020

  40. Snyder, C.R., Lopez, S.J., Pedrott, J.T.: Positive Psychology: The Scientific and Practical Explorations of Human Strengths. Sage (2011). ISBN 978-1-4129-8195-8

    Google Scholar 

  41. Schroer, A.: 32 Artificial intelligence companies building a smarter tomorrow (2020). Retrieved from https://builtin.com/artificial-intelligence/ai-companies-roundup. 24 May 2020

  42. Ted, O., Mathew, R.: Optimal sin taxes. Sciencedirect (2006). Retrieved from https://www.sciencedirect.com/science/article/pii/S0047272706000247. The European Union. Addiction 107, 188–196 (2011)

  43. Velavan, T.P., Meyer, C.G.: The COVID-19 epidemic. Tropical Med. Int. Health TM & IH 23(3), 278–280 (2020). https://doi.org/10.1111/tmi.13383

  44. W.H.O.: Coronavirus (2020). Retrieved from https://www.who.int/health-topics/coronavirus#tab=tab_1. 24 May 2020

  45. World Poverty Clock.: Explore Poverty Data by Age, Gender and Region for Every Country in the World Until 2030. World Data Lab. Retrieved from https://worldpoverty.io/headline on February 10, (2020)

Download references

Author information

Authors and Affiliations

  1. Department of Pediatrics, Babcock University Teaching Hospital, Ilishan-Remo, Ogun State, Nigeria

    T. Falana, J. Renner, A. Adekoya & O. Abolurin

Authors
  1. T. Falana
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J. Renner
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Adekoya
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. O. Abolurin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to J. Renner .

Editor information

Editors and Affiliations

  1. Department of Management, College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates

    M.T. Alshurideh

  2. Faculty of Computer and Artificial Intellgence, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  3. The University of Jordan, Aqaba, Jordan

    Ra’ed Masa’deh

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Falana, T., Renner, J., Adekoya, A., Abolurin, O. (2021). Artificial Intelligence and Healthcare: The Effects of COVID-19 on Nigerians. In: Alshurideh, M., Hassanien, A.E., Masa’deh, R. (eds) The Effect of Coronavirus Disease (COVID-19) on Business Intelligence. Studies in Systems, Decision and Control, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-030-67151-8_7

Download citation

Publish with us

Policies and ethics

Search

Navigation