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A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors

Year 2024, Volume: 21 Issue: 2, 90 - 99, 01.11.2024

Abstract

This study presents a mathematical model analyzing COVID-19 spread in Nigeria, incorporating population migration and asymptomatic cases. Expanding on the traditional SEIR (Susceptible-Exposed-Infectious-Recovered) model, it uses nonlinear ordinary differential equations to track the dynamics of different population groups. Key parameters, including transmission, immigration, emigration, and death rates, were estimated using data from the Nigeria Centre for Disease Control (NCDC) and fitted with the Nelder-Mead method. Simulations reveal a basic reproduction number (R₀) of 0.0095, indicating a high risk of secondary infections. The model shows that symptomatic infections peaked around 20 days before declining, while recovery rates continued to rise. The study emphasizes the importance of adhering to COVID-19 precautions and controlling population migration to mitigate the pandemic's impact. The findings offer valuable insights for effective disease control strategies in Nigeria.

References

  • J. O. Bamidele, and O. J. Daniel, “Epidemiology of Coronavirus Disease (COVID-19) in Nigeria,” Ann Health Res, vol. 6, no. 2, pp. 125-132, May 2020, doi: 10.30442/ahr.0602-01-74.
  • S. G. Georgiev, and L. G. Vulkov, “Identification of COVID–19 dynamics and economic impact for a fractional SEIR,” AIP Conference Proceedings, vol. 2505, no. 1, 080025, pp.1-9, Sep. 2022, doi: 10.1063/5.0101044.
  • J. O. Owoyemi, and Y. Edime, “Covid-19 and job loss in Nigeria: A sociological analysis,” CRR, vol. 1, no. 1, pp. 1 10, Nov. 2022, doi: 10.57219/crrj.2022.1.1.0002.
  • S. Omega, A. T. Nuer, and E. Ametepey, “Effect of Coronavirus on Aquaculture in Oyo state, Nigeria,” J Agricultural Sci, vol. 13, no. 11, pp. 153-166, Oct. 2021, doi: 10.5539/jas.v13n11p153.
  • S. Chauhan, P. O. Misra, and J. Dhar, “Stability Analysis of SIR Model with Vaccination,” Amer J Computational App Math, vol. 4, no. 1, pp. 17-23, Jan. 2014, doi: 10.5923/j.ajcam.20140401.03.
Year 2024, Volume: 21 Issue: 2, 90 - 99, 01.11.2024

Abstract

References

  • J. O. Bamidele, and O. J. Daniel, “Epidemiology of Coronavirus Disease (COVID-19) in Nigeria,” Ann Health Res, vol. 6, no. 2, pp. 125-132, May 2020, doi: 10.30442/ahr.0602-01-74.
  • S. G. Georgiev, and L. G. Vulkov, “Identification of COVID–19 dynamics and economic impact for a fractional SEIR,” AIP Conference Proceedings, vol. 2505, no. 1, 080025, pp.1-9, Sep. 2022, doi: 10.1063/5.0101044.
  • J. O. Owoyemi, and Y. Edime, “Covid-19 and job loss in Nigeria: A sociological analysis,” CRR, vol. 1, no. 1, pp. 1 10, Nov. 2022, doi: 10.57219/crrj.2022.1.1.0002.
  • S. Omega, A. T. Nuer, and E. Ametepey, “Effect of Coronavirus on Aquaculture in Oyo state, Nigeria,” J Agricultural Sci, vol. 13, no. 11, pp. 153-166, Oct. 2021, doi: 10.5539/jas.v13n11p153.
  • S. Chauhan, P. O. Misra, and J. Dhar, “Stability Analysis of SIR Model with Vaccination,” Amer J Computational App Math, vol. 4, no. 1, pp. 17-23, Jan. 2014, doi: 10.5923/j.ajcam.20140401.03.
There are 5 citations in total.

Details

Primary Language English
Subjects Numerical Solution of Differential and Integral Equations, Numerical Analysis, Biological Mathematics, Theoretical and Applied Mechanics in Mathematics, Applied Mathematics (Other)
Journal Section Articles
Authors

Moyosola Ayodele 0009-0000-5362-5643

Olutunde Odetunde 0000-0003-1706-4978

Sefiu Onitilo 0000-0002-4418-197X

Publication Date November 1, 2024
Submission Date May 30, 2024
Acceptance Date September 6, 2024
Published in Issue Year 2024 Volume: 21 Issue: 2

Cite

APA Ayodele, M., Odetunde, O., & Onitilo, S. (2024). A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors. Cankaya University Journal of Science and Engineering, 21(2), 90-99.
AMA Ayodele M, Odetunde O, Onitilo S. A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors. CUJSE. November 2024;21(2):90-99.
Chicago Ayodele, Moyosola, Olutunde Odetunde, and Sefiu Onitilo. “A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors”. Cankaya University Journal of Science and Engineering 21, no. 2 (November 2024): 90-99.
EndNote Ayodele M, Odetunde O, Onitilo S (November 1, 2024) A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors. Cankaya University Journal of Science and Engineering 21 2 90–99.
IEEE M. Ayodele, O. Odetunde, and S. Onitilo, “A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors”, CUJSE, vol. 21, no. 2, pp. 90–99, 2024.
ISNAD Ayodele, Moyosola et al. “A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors”. Cankaya University Journal of Science and Engineering 21/2 (November 2024), 90-99.
JAMA Ayodele M, Odetunde O, Onitilo S. A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors. CUJSE. 2024;21:90–99.
MLA Ayodele, Moyosola et al. “A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors”. Cankaya University Journal of Science and Engineering, vol. 21, no. 2, 2024, pp. 90-99.
Vancouver Ayodele M, Odetunde O, Onitilo S. A Mathematical Model for Analyzing the Spread of Coronavirus in Nigeria, Including Population Migration Factors. CUJSE. 2024;21(2):90-9.