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Modeling the Two-Strain Dynamics of COVID-19 in Ghana Using a Logistic Growth Model

Received: 28 July 2024     Accepted: 16 August 2024     Published: 29 September 2024
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Abstract

Through mutation, viruses constantly change, bringing into existence new variants; SARS-CoV-2 is no different. In December 2020, variants with different characteristics that could affect transmissibility and death emerged around the world of which Ghana is not an exception. To address this new phenomenon, a two-strain mathematical model of SARS-CoV-2 was formulated to analyzed the transmission dynamics in Ghana. The disease-free equilibrium was calculated. The basic reproduction number, R0= max{R0A, R0B} = max(0.9957945674, 1.109170840), associated with the model is computed using the next generation matrix operator. The disease-free equilibrium is found to be locally asymptotically stable when both R0A, R0B < 1, but unstable otherwise. In addition to the disease-free, the boundary equilibrium for strain A and strain B was also calculated. Using the Gershgorin’s circle theorem, it was shown that the boundary equilibrium is locally asymptotically stable when both R0A, R0B > 1, but unstable when otherwise. Simulations of the model were carried out. Results indicate that the government should intensify its efforts to vaccinate a larger proportion of the population and also recommends implementing comprehensive control measures, such as the use of face masks, social distancing, and contact tracing, to mitigate the spread of the disease.

Published in American Journal of Applied Mathematics (Volume 12, Issue 5)
DOI 10.11648/j.ajam.20241205.15
Page(s) 149-166
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

COVID-19, SARS-CoV-2, SVEIR Transmission Dynamics, Diseases-free Equilibrium, Boundary Equilibrium, Stability Analysis, Simulation

References
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[3] Diekmann, O.; Heesterbeek, J. A. P.; Metz, J. A. J. On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations. Journal of Mathematical Biology. (1990-8-4), 365-382.
[4] Ma, Z. Dynamical Modeling and Analysis of Epidemics World Scientific. 2009, pp. 2-23.
[5] Anastassopoulou, C., Russo, L., Tsakris, A., and one, S. Data-Based Analysis, Modeling and Forecasting of the COVID-19 Outbreak. 2020, Vol. 15, No. 3, pp. e02 -e04.
[6] Delamater, P. L., Street, E. J., Leslie, T. F., Yang, Y. T., and Jacobsen, K. H. Complexity of the Basic Reproduction Number. Emerging infectious diseases. 2019, Vol. 25, No. 1, pp. 1-3.
[7] Sutton, K. M. Discretizing the SI Epidemic Model. Rose- Hulman Undergraduate Mathematics Journal. 2014, Vol. 15, No. 1, 12 pp.
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[9] Zill, D. G. A First Course in Differential Equations with Modeling Applications. Cengage Learning. 2012, 34 pp
[10] Arruda, E. F., Pastore, D. H., Dias, C. M., and Das, S. S. Modeling and Optimal Control of Multi Strain Epidemics, with Application to COVID-19. 2021, pp. 2- 6.
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[12] Khyar, O. and Allali, K. Global Dynamics of a Multi- Strain SEIR Epidemic Model with General Incidence Rates: Application to COVID-19 Pandemic, Nonlinear Dynamics. 2020, Vol. 102, No. 1, pp. 489-509.
[13] Agoti, C. N., Ochola-Oyier, L. I., Mohammed, K. S., Lambisia, A. W., de Laurent, Z. R., Morobe, J. M., Mburu, M. W., Omuoyo, D. O., Ongera, E. M., Ndwiga, L. Genomic Surveillance Reveals the Spread Patterns of SARS-CoV-2 in Coastal Kenya During the First Two Waves. medRxiv. 2021, 12 pp.
[14] Torjesen, I. Covid-19: Delta Variant is Now UK’s Most Dominant Strain and Spreading Through Schools. 2021, 23 pp.
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[16] Halim, M. A Report on COVID-19 Variants, COVID-19 Vaccines and the Impact of the Variants on the Efficacy of the Vaccines. J Clin Med Res. 2021, Vol. 3, No. 2, pp. 1-19.
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Cite This Article
  • APA Style

    Crankson, M. V., Cobbinah, J., Boadi, S. (2024). Modeling the Two-Strain Dynamics of COVID-19 in Ghana Using a Logistic Growth Model. American Journal of Applied Mathematics, 12(5), 149-166. https://doi.org/10.11648/j.ajam.20241205.15

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    ACS Style

    Crankson, M. V.; Cobbinah, J.; Boadi, S. Modeling the Two-Strain Dynamics of COVID-19 in Ghana Using a Logistic Growth Model. Am. J. Appl. Math. 2024, 12(5), 149-166. doi: 10.11648/j.ajam.20241205.15

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    AMA Style

    Crankson MV, Cobbinah J, Boadi S. Modeling the Two-Strain Dynamics of COVID-19 in Ghana Using a Logistic Growth Model. Am J Appl Math. 2024;12(5):149-166. doi: 10.11648/j.ajam.20241205.15

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  • @article{10.11648/j.ajam.20241205.15,
      author = {Monica Veronica Crankson and John Cobbinah and Samuella Boadi},
      title = {Modeling the Two-Strain Dynamics of COVID-19 in Ghana Using a Logistic Growth Model},
      journal = {American Journal of Applied Mathematics},
      volume = {12},
      number = {5},
      pages = {149-166},
      doi = {10.11648/j.ajam.20241205.15},
      url = {https://doi.org/10.11648/j.ajam.20241205.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20241205.15},
      abstract = {Through mutation, viruses constantly change, bringing into existence new variants; SARS-CoV-2 is no different. In December 2020, variants with different characteristics that could affect transmissibility and death emerged around the world of which Ghana is not an exception. To address this new phenomenon, a two-strain mathematical model of SARS-CoV-2 was formulated to analyzed the transmission dynamics in Ghana. The disease-free equilibrium was calculated. The basic reproduction number, R0= max{R0A, R0B} = max(0.9957945674, 1.109170840), associated with the model is computed using the next generation matrix operator. The disease-free equilibrium is found to be locally asymptotically stable when both R0A, R0B A and strain B was also calculated. Using the Gershgorin’s circle theorem, it was shown that the boundary equilibrium is locally asymptotically stable when both R0A, R0B > 1, but unstable when otherwise. Simulations of the model were carried out. Results indicate that the government should intensify its efforts to vaccinate a larger proportion of the population and also recommends implementing comprehensive control measures, such as the use of face masks, social distancing, and contact tracing, to mitigate the spread of the disease.},
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Modeling the Two-Strain Dynamics of COVID-19 in Ghana Using a Logistic Growth Model
    AU  - Monica Veronica Crankson
    AU  - John Cobbinah
    AU  - Samuella Boadi
    Y1  - 2024/09/29
    PY  - 2024
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    DO  - 10.11648/j.ajam.20241205.15
    T2  - American Journal of Applied Mathematics
    JF  - American Journal of Applied Mathematics
    JO  - American Journal of Applied Mathematics
    SP  - 149
    EP  - 166
    PB  - Science Publishing Group
    SN  - 2330-006X
    UR  - https://doi.org/10.11648/j.ajam.20241205.15
    AB  - Through mutation, viruses constantly change, bringing into existence new variants; SARS-CoV-2 is no different. In December 2020, variants with different characteristics that could affect transmissibility and death emerged around the world of which Ghana is not an exception. To address this new phenomenon, a two-strain mathematical model of SARS-CoV-2 was formulated to analyzed the transmission dynamics in Ghana. The disease-free equilibrium was calculated. The basic reproduction number, R0= max{R0A, R0B} = max(0.9957945674, 1.109170840), associated with the model is computed using the next generation matrix operator. The disease-free equilibrium is found to be locally asymptotically stable when both R0A, R0B A and strain B was also calculated. Using the Gershgorin’s circle theorem, it was shown that the boundary equilibrium is locally asymptotically stable when both R0A, R0B > 1, but unstable when otherwise. Simulations of the model were carried out. Results indicate that the government should intensify its efforts to vaccinate a larger proportion of the population and also recommends implementing comprehensive control measures, such as the use of face masks, social distancing, and contact tracing, to mitigate the spread of the disease.
    VL  - 12
    IS  - 5
    ER  - 

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