Cletus Okore, Nwankwo Akuma Okore, PhD


Introduction: Coronavirus disease otherwise known as COVID-19 is known to infect humans and cause severe disease and fatalities. it is a global pandemic and has affected so many nations and their economies, societies and institutional sectors including educational sector. Protecting oneself and preventing rapid spread of the virus by being well informed about the transmission of the virus, adhering to the safety tips to stay safe and getting vaccinated is the best approach to fight against the virus. Aim: This research tries to explore some ICT/Social media tools in effectively curbing the spread of COVID-19 virus in Abia State College of Education (Technical), Arochukwu. Methodology: This research work adopted crowd sourcing approach for aggregating feedbacks on the effectiveness of curbing the spread of COVID-19 pandemic through the use of ICT/Social Media tools. Data mining technique such as FURIA classifier was applied to analyze and classify responses from crowd (staff and students) into effective or not effective using dataset of 200 instances in Weka toolkit version 3.9. The qualitative research approach was also adopted for collection of data from secondary sources, such as: online journals and articles. Rational Unified Process was used as system development methodology; Unified Modelling Language was used for the design of the proposed system. Tools: The system was developed using Android version 8.0 with other tools which include GPS/Network location tracker, Bluetooth technology for scanning and calculating users’ distances, Java and XML as programming language and MySQL cloud database for data synchronization between devices.

Result: This approach after being tested and evaluated showed that the system helped in monitoring social distance compliance, alert the violators and gives reports on the high rate of violations based on different locations, divulging information that could be used in creating awareness where there are high number of violations and giving useful information about various safety tips on how to stay safe. It also helped to mitigate the high rate of violations, that can even lead to high rate of exposure to COVID-19 virus, its spread and possible infection.


COVID-19, Institution, ICT/Social Media, Data mining

Full Text:



Adebusoye, O., & Yakubu, O. (2020). Nigerian Develops Contact Tracing App to Help Reduce the Spread of Covid-19. Retrieved from:

Adekanmbi, O., Oyewusi, W. F., &Ogundepo, E. A. (2020). Real-Time Crowdsourcing of Health Data in a Low-Income Country: A Case Study of Human Data Supply on Malaria First-Line Treatment Policy Tracking in Nigeria. NeurIPS 2020 Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation. Retrieved from

Ahmed, N., Michelin, R., Xue, W., Ruj, S., Malaney, R., Kanhere, S., ... (2020). A Survey of COVID-19 Contact Tracing Apps. Institute of Electrical and Electronics Engineer, 4 (1), 1-25.

Budge, E. J., Tsoti, S.M., Howgate, D.J., Sivakumar, S., &Jalali, M. (2015). Collective intelligence for translational medicine: crowdsourcing insights and innovation from an interdisciplinary biomedical research community. Ann Med. 47:570–5.

Devece, C., Palacios, D. & Ribeiro-Navarrete, B. (2019). The effectiveness of crowdsourcing in knowledge-based industries: the moderating role of transformational leadership and organisational learning, Economic Research-EkonomskaIstraživanja, 32:1, 335-351, DOI:10.1080/1331677X.2018.1547204

Farayibi, A. O., & Asongu, S. A. (2020). The Economic Consequences of the Covid-19 Pandemic in Nigeria. European Xtramile Centre of African Studies, SSRN Electronic Journal,, 1 (1), 20-42.

Feng, S., Woo, M.J, Kim, H., Kim, E,, Ki. S., & Shao, L., (2016). A game-based crowdsourcing platform for rapidly training middle and high school students to perform biomedical image analysis. In: Optics and Biophotonics in Low-Resource Settings II. SPIE.

Han, J. &Kamber, M., (2006). Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufmann Publisher.

Jancowicz, M. (2020). At Least 6 Countries Reimposed Lockdown Measures as New Coronavirus Cases Flared Up Again. Here's What they Looked Like. Business Insider. Available:

Jantan, H., Hamdan, A. R., & Othman, Z. A. (2010). Human talent prediction in HRM using C4. 5 classification algorithm, International Journal on Computer Science and Engineering, 2(08-2010), 2526-2534

Kaufmann, M., (2016). In Emerging Topics in Computer Science and Applied Computing. Applied Computing in Medicine and Health, 37-48.

McFall-Johnsen, M. (2020). Countries in Asia are Facing New Waves of Coronavirus Infections After Lockdowns Lift. The Same Could Happen in the Rest of the World. Business Insider. Available:

Monzon, L. (2020). New COVID-19 Contact Tracing App Designed “For Nigeria by Nigerians”. iInewsafrica. Retrieved from:

Nguyen, C. T., Saputra, Y. M., Huynh, N. V., Nguyen, N., Khoa, T. V., Tuan, B. … (2020). Enabling and Emerging Technologies for Social Distancing: A Comprehensive Survey and Open Problems. 1-43, DOI:10.1109/ACCESS.2020.3018140.

Ong, J.J., Bilardi, J.E., & Tucker, J.D. (2017). Wisdom of the crowds: crowd-based development of a logo for a conference using a crowdsourcing contest. Sex Transm Dis. 44:630–6.

Pan, S.W., Stein, G., Bayus, B., Tang, W., Mathews, A., Wang, C., … (2017). Systematic review of innovation design contests for health: spurring innovation and mass engagement. BMJ Innovations, 3:227–37.

Pandey, M. & Sharma, V. K. (2013). A Decision Tree Algorithm Pertaining to the Student Performance Analysis and Prediction. International Journal of Computer Applications. (0975 – 8887) 61(13).

Prpic, J., Shukla, P., Kietzmann, J. H., & McCarthy, I. P. (2015). How to work a crowd: Developing crowd capital through crowdsourcing? Business Horizons, 58(1), 77–85. doi:10.1016/j.bushor.2014.09.005.

Punn, N. S., Sonbhadra, S. K & Agarwal, S. (2020). Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj, Uttar Pradesh, India.

Regmi, K. &Lwin, C. M. (2020). Factors impacting social distancing measures for preventing coronavirus disease 2019 [COVID-19]: A systematic review. 23. [Online] Retrieved from:

Rusli, M. E., Ali, M., Yussof, S. & Hassan, A. A. A. (2020). MySD: A Smart Social Distancing Monitoring System. 2020 8th International Conference on Information Technology and Multimedia (ICIMU)

Sadiku, M. N. O., Shadare, A. E., & Musa, S. M. (2017). Mobile Health. International Journal of Engineering Research, , 6(11), 450-452, ISSN:2319-6890, DOI : 10.5958/2319-6890.2017.00061.7 Page 450.

Sathyamoorthy, A. J., Patel, U., Savle, Y. A., Paul, M. &Manocha, D. (2020). COVID-Robot: Monitoring Social Distancing Constraints in Crowded Scenarios. [Online]. arXiv:2008.06585v2 [cs.RO], 1-11.

Sohrabi, C., Alsafi, Z., O'Neil, N., Khan, M., Kerwan, A., Al-Jabir, A., … (2020). World Health Organization declares global emergency: A review of the 2019 novel coronavirus(COVID-19). International Journal of Surgery, 76 (1), 71-76.

Tian, S., Hu, N., Lou, J., Chen, K., Kang, X., Xiang, Z., … (2020). Characteristics of COVID-19 infection in Beijing. Journal of Infection, 80 (1), 401–406.

Wang, C., Han, L., Stein, G., Day, S., Bien-Gund, C., Mathews, A., … (2020). Crowdsourcing in health and medical research: a systematic review. Infectious Diseases of Poverty. 9:8,


  • There are currently no refbacks.

Copyright (c) 2024 Cletus Okore, Nwankwo Akuma Okore, PhD



ISSN: 3027-0510 (Online)




Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.