Enhanced Covid-19 Contact-Tracing System


  • Gabriel Ihuoma Lilian Department of Computer Science, University of Port Harcourt Nigeria
  • Barifaa Naakorobee Department of Computer Science, University of Port Harcourt Nigeria


covic-19, Contact-Tracing, sensor, swarm, fuzzy logic


Covid-19 is a global pandemic that has brought the world to a standstill. The virus originated from Wuhan China and has claimed the lives of over 5 million people according to World Health Organization. The Nigeria centre for Disease control is an agency that manages pandemics in Nigeria. They have created awareness son the management of Covic-19. Contact tracing of people that have come in contact with infected people poses a lot of problem. In this study, optimized system for con tact tracing of Covic-19 was carried out. Object Oriented Analysis Design Methodology (OOADM) was adopted and implementation was achieved with python programming language. The result obtained showed better and optimized performance in contact-tracing based on symptomatic (1) and asymptomatic (1+1) infection generation using fuzzy logic as an accurate decision making tool.


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How to Cite

Ihuoma Lilian, G., & Barifaa Naakorobee. (2023). Enhanced Covid-19 Contact-Tracing System. International Journal of Computer (IJC), 49(1), 138–151. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/2143