Skip to main content
SpringerLink
Log in

Leveraging ICT Technologies in the Battle Against COVID-19: A Review for Applications, Challenges, and Solutions

  • Conference paper
  • First Online:
Advances in Intelligent Computing Techniques and Applications (IRICT 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 210))

  • 57 Accesses

Abstract

The COVID-19 pandemic has profoundly impacted our daily lives, with technology playing a pivotal role in the fight against the virus. Consequently, numerous groundbreaking technologies, such as telemedicine, contact tracing apps, and online learning platforms, have been swiftly developed and adopted. These technological advancements have not only assisted in mitigating the spread of the virus but have also allowed us to maintain some semblance of normalcy. However, they have encountered various challenges, including issues related to accessibility, data security, and privacy. This paper explores the threats posed by COVID-19 that current technologies have addressed. It delves into the challenges faced during innovation, development, and implementation. The article also offers suggestions and analysis on how information technology researchers can contribute to combating the COVID-19 pandemic. The objective is to advance technological progress and research, enhancing strategies for battling the ongoing COVID-19 crisis and potential future pandemics.

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 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
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

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

References

  1. Singh, R.P., Javaid, M., Haleem, A., Suman, R.: Internet of things (IoT) applications to fight against COVID-19 pandemic. Diab. Metabolic Syndrome 14(4), 521–524 (2020). https://doi.org/10.1016/j.dsx.2020.04.041

    Article  Google Scholar 

  2. Pittaway, D.:  The Use of IoT During COVID-19. IoT For All, 22 September  (2020).  https://www.iotforall.com/use-of-iot-during-covid-19  (Accessed 22 April 2022)

  3. Cresswell, K., Williams, R., Sheikh, A.: Using cloud technology in health care during the COVID-19 pandemic. Lancet Digital Health 3(1), e4-e5 (2021).  https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30291-0/fulltext

  4. Singh, J.L., H., Couch, D.,  Yap, K.: Mobile health apps that help with COVID-19 management: scoping review. JMIR Nursing 3(1), e20596 (2020). https://doi.org/10.2196/20596

  5. Corona-Warn for Android - APK Download, April 21. AP- KPure.Com (2022). https://apkpure.com/corona-warn-app/de.rki.coronawarnapp

  6. Corona-Warn-App, July2  AppStore (2020). https://apps.apple.com/gb/app/corona-warn-app/id1512595757

  7. EU Digital COVID Certificate, September 3  European Commission - European Commission (2021). https://ec.europa.eu/info/live-work-travel-eu/coronavirus-response/safe-covid-19-vaccines-europeans/eu-digitalcovid-certificate_en

  8. A.  Face Masks And MySejahtera Check-Ins Are No Longer Compulsory!! Glitz by Beauty Insid-er, April 27 (2022).  https://glitz.beautyinsider.my/face-masks-and-mysejahtera-check-ins-are-no-longer-compulsory/

  9. Gunasegaram, P.:  COMMENT Khairy, why not scrap MySejahtera? Malaysiakini , March 31 (2022). https://m.malaysiakini.com/columns/616445”

  10. Jonker, W.:  [Opinion] Covid 19 why didn’t Europe’s tracing apps work? EUobserver, 5  February (2021). https://euobserver.com/opinion/150813

    Google Scholar 

  11. Singh, R.P., Javaid, M., Haleem, A., Suman, R.: Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes Metabolic Syndrome: Clin. Res. Rev. 14(4), 521–524 (2020). https://doi.org/10.1016/j.dsx.2020.04.041

    Article  Google Scholar 

  12. Rufai, S.R., Bunce, C.: World leaders’ usage of twitter in response to the COVID-19 pan-demic: a content analysis. J. Public Health 42(3), 510–516 (2020). . https://doi.org/10.1093/pubmed/fdaa049

  13. Munzert, S., Selb, P., Gohdes, A., Stoetzer, L.F.,  Lowe, W.:  Tracking and promoting the usage of a COVID-19 contact tracing app. Nat Human Behav. 5(2), 247–255 (2021). https://doi.org/10.1038/s41562-020-01044-x

  14. Jaworski, B.K., et al.:  Exploring usage of COVID coach, a public mental health app designed for the COVID-19 Pandemic: evaluation of analytics data. J. Med. Internet Res. 23(3), e26559 (2021). https://doi.org/10.2196/26559

  15. Alhumaid, K., Habes, M., Salloum, S.A.: Examining the factors influ- encing the mobile learning usage during COVID-19 pandemic: an integrated SEM-ANN method. IEEE Access 9, 102567–102578 (2021). https://doi.org/10.1109/ACCESS.2021.3097753

    Article  Google Scholar 

  16. Lee, Y.C., Malcein, A., & Kim, S.C.:  Information and communications technology (ICT) usage during COVID-19: motivating factors and implications. Inter. J. Environ. Res. Public Health 18(7), 3571 (2021). https://doi.org/10.3390/ijerph18073571

  17. Cooper, I.D.: What is a “mapping study?”. J. Med. Library Assoc. (2016). https://doi.org/10.3163/1536-5050.104.1.013

  18. Bhosale, U.:  How to Master at Literature Mapping: 5 Most Recommended Tools to Use. Enago Acad (2022). https://www.enago.com/academy/literature-mapping-5-most-recommended-tools-to-use

  19. Ogundokun, R.O., Awotunde, J.B., Adeniyi, E.A., Misra, S.: Application of the Internet of Things (IoT) to fight the COVID-19 pandemic. Internet of Things (2022). https://doi.org/10.1007/978-3-030-81473-1_4

  20. Aruna, M., Kumar, S., Arthi, B., Ghosh, U.: Smart security for in- dustrial and healthcare IoT applications. Internet of Things (2022). https://doi.org/10.1007/978-3-030-81473-1_17

    Article  Google Scholar 

  21. Tripathy, H.K., Mishra, S., Suman, S., et al.: Smart COVID-shield: an IoT driven reliable and automated proto-type model for COVID-19 symptoms tracking. Computing 104, 1233–1254 (2022). https://doi.org/10.1007/s00607-021-01039-0

  22. Ashfaq, Z., et al.: Embedded AI-based digihealthcare. Appl. Sci. (2022). https://doi.org/10.3390/app12010519

  23. Razdan, S., Sharma, S.: Internet of medical Things (IoMT): overview, emerging technologies, and case studies. IETE Tech. Rev. (2021). https://doi.org/10.1080/02564602.2021.1927863

  24. Khan, M.M., Alanazi, T.M., Albraikan, A., Almalki, F.A.: IoT- based health monitoring system development and analysis. Security and Commun. Netw. (2022). https://doi.org/10.1155/2022/9639195

  25. Go.Data. (n.d.). OpenWHO. https://openwho.org/channels/godata

  26. Chapter 8 – Managing cases. (n.d.). in go data user guide (2.0), p. 133. World Health Organization (2020). https://apps.who.int/iris/bitstream/handle/10665/332255/WHO-2019-nCoV-Go.data_manual-2020.2-eng.pdf?sequence=1&isAllowed=y

  27. Chapter 17 – Administering roles and user accounts. (n.d.). in go data user guide ( 2.0), p. 310 .World Health Organization (2020). https://apps.who.int/iris/bitstream/handle/10665/332255/WHO-2019-nCoV-Go.data_manual-2020.2-eng.pdf?sequence=1&isAllowed=y

  28. Epi Info – Clinfowiki. (n.d.). https://clinfowiki.org/wiki/index.php/Epi_Info

  29. Epi-Info.(n.d.).GitHub–Epi-Info/Epi-Info-Web-Enter.GitHub. https://github.com/Epi-Info/Epi-Info-Web-Enter

  30. Frequently Asked Questions (FAQ) on the new Epi Info data reporting system for Bureau for Behavioral Health (BBH) grants related to the System of Care (SOC), p. 2. (n.d.). https://dhhr.wv.gov/BBH/DocumentSearch/Epi%20Info/Epi%209.30%20-%2010.20/Epi%20Info%20FAQ_20211001.pdf

  31. Training on Mobile Data Collection using ODK – Information Technology | Devimpact Institute. (n.d.). https://devimpactinstitute.com/courses/information-technology/training-on-mobile-data-collection-using-odk

  32. Security and Privacy – ODK Docs. (n.d.). https://docs.getodk.org/security-privacy/

  33. Dimagi Academy. (n.d.). https://academy.dimagi.com/

  34. Data Security. (n.d.). In Dimagi’s Data Confidentiality & Security Overview, p. 7

    Google Scholar 

  35. Privacy Policy – Dimagi. (n.d.). Dimagi. https://www.dimagi.com/terms/latest/privacy/

  36. KoboToolbox. (n.d.). KoboToolbox. https://www.kobotoolbox.org/

  37. KoboToolbox. (n.d.). KoboToolbox. https://www.kobotoolbox.org/features/data-security/

  38. KoboToolbox data security measures: Keeping your data safe — Ko- boToolboxdocumentation.(n.d.). https://support.ko-botoolbox.org/is_my_data_safe.html

  39. Ryan, M.: In defence of digital contacttracing: human rights, South Korea and Covid-19. Inter. J. Pervasive Comput. Commun. 16(4), 383–407 (2020). https://doi.org/10.1108/IJPCC-07-2020-0081

    Article  Google Scholar 

  40. Juneau, C., Briand, A., Collazzo, P., Siebert, U., Pueyo, T.: Effective contact tracing for COVID-19: a systematic review. Global Epidemiol. 5, 100103 (2023)

    Google Scholar 

  41. Wileden, L., Anthony, D., Campos-Castillo, C., Morenoff, J.: Resident willingness to participate in digital contact tracing in a COVID-19 hotspot: findings from a detroit panel study. JMIR Public Health Surveillance 9, e39002 (2022). https://doi.org/10.2196/39002

  42. Fox, G., Van Der Werff, L., Rosati, P., Endo, P.T., Lynn, T.: Examining the determinants of acceptance and use of mobile contact tracing applications in Brazil: an extended privacy calculus perspective. J. Assoc. Inform. Sci. Technol. 73(7), 944–967 (2021). https://doi.org/10.1002/asi.24602

    Article  Google Scholar 

  43. Scheffer, M., Cassenote, A.J.F., De Britto E Alves, M.T.S.S.,  Russo, G.:  The multiple uses of telemedicine during the pandemic: the evidence from a cross-sectional survey of medical doctors in Brazil. Globalization Healt 18(1) (2022). https://doi.org/10.1186/s12992-022-00875-9

  44. Curtis, M.E., Clingan, S.E., Guo, H., Zhu, Y., Mooney, L.J., Hser, Y.: Disparities in digital access among American rural and urban house-holds and implications for telemedicine-based services. J. Rural Health 38(3), 512–518 (2021). https://doi.org/10.1111/jrh.12614

    Article  Google Scholar 

  45. Chuang, M.-M., et al.:  Contemporary Practice in Telemedicine through Telecommunication Technology during COVID-19 Pandemic in Taiwan – A Single CenterExperience.AiritiLibrary, pp. 196–201 (2022). https://www.airitilibrary.com/Publication/alDetailedMesh?docid=P20190312001-202207–202207260001–202207260001–196–201

    Google Scholar 

  46. Kang, E.K., Song, N., Ju, H.: Contents and sentiment analysis of newspaper articles and comments on telemedicine in Korea: Before and after of COVID-19 outbreak. Health Inform. J. 28(1), 146045822210755 (2022). https://doi.org/10.1177/14604582221075549

    Article  Google Scholar 

  47. Sözen, M.E., Sarıyer, G., Ataman, M.G.: Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland, Turkey and South Korea. Health Policy Plan. 37(1), 100–111 (2022). https://doi.org/10.1093/heapol/czab096

    Article  Google Scholar 

  48. Mehta, N.,  Shukla, S.R.: Pandemic analytics: how countries are leveraging big data analytics and artificial intelligence to fight COVID-19?. SN Comput. Sci. 3(1) (2022). https://doi.org/10.1007/s42979-021-00923-y

  49. Zhang, Q., Gao, J., Wu, J. C., Cao, Z.,  Zeng, D.:  Data science approaches to confronting the COVID-19 pandemic: a narrative review. Philos. Trans. Royal Soc. A 380(2214) (2022). https://doi.org/10.1098/rsta.2021.0127

  50. Iwendi, C., Huescas, C.G.Y., Chakraborty, C., Mohan, S.: COVID-19 health analysis and prediction using machine learning algorithms for Mexico and Brazil patients. J. Experim. Theoret. Artifi. Intell. 1–21 (2022). https://doi.org/10.1080/0952813x.2022.2058097

  51. Koga, N.M., De Moura Palotti, P.L., Pontes, D.M.M., P. A., Couto, B. G. D.,  Soares, M.L.V.: Analytical capacity as a critical condition for responding to COVID-19 in Brazil. Policy Soc. 42(1), 117–130 (2022). https://doi.org/10.1093/polsoc/puac028

  52. Khanna, V. V., Chadaga, K., Sampathila, N., Prabhu, S., Chadaga, R.,  Umakanth, S.: Diagnosing COVID-19 using artificial intelligence: a comprehensive review. Netw. Model. Analy. Health Inform. Bioinform. 11(1) (2022). https://doi.org/10.1007/s13721-022-00367-1

  53. Zhao, Z., et al.:  Applications of robotics, artificial intelligence, and digital technologies during COVID-19: a review. Disaster Med. Public Health Preparedness 16(4), 1634–1644 (2021). https://doi.org/10.1017/dmp.2021.9

  54. Ahmed, S., Yong, J., Shrestha, A.: The Integral role of intelligent IoT system, cloud computing, artificial intelligence, and 5G in the user-level self-monitoring of COVID-19. Electronics 12(8), 1912 (2023). https://doi.org/10.3390/electronics12081912

    Article  Google Scholar 

Download references

Acknowledgements

This research is funded by Dhofar University, Sultanate of Oman, very great appreciation for Dhofar University and University of Science and Technology (Yemen) for their unlimited support.

Author information

Authors and Affiliations

  1. Dhofar University, Salalah, Sultanate of Oman

    Abdulaziz Aborujilah & Samir Hammami

  2. University of Kuala Lumpur, MIIT, Kuala Lumpur, Malaysia

    Kabir Hasibul

Authors
  1. Abdulaziz Aborujilah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Samir Hammami
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kabir Hasibul
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Abdulaziz Aborujilah .

Editor information

Editors and Affiliations

  1. School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

    Faisal Saeed

  2. Department of Business Analytics, Sunway Business School, Sunway University, Selangor, Malaysia

    Fathey Mohammed

  3. Department of Computer Sciences and Electrical Engineering, Marshall University, Huntington, WV, USA

    Yousef Fazea

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aborujilah, A., Hammami, S., Hasibul, K. (2024). Leveraging ICT Technologies in the Battle Against COVID-19: A Review for Applications, Challenges, and Solutions. In: Saeed, F., Mohammed, F., Fazea, Y. (eds) Advances in Intelligent Computing Techniques and Applications. IRICT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-031-59711-4_2

Download citation

Publish with us

Policies and ethics

Search

Navigation