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Optimal Control Model for the Dynamics of Tuberculosis in Mubi North Local Government Adamawa State of Nigeria

Njida James Andest Lazarus Gayus Ndatuwong Paul Inuwa Dalatu

Subject area: Science,Engineering and Technology  ·  Area of research: Mathematics

DOI: 10.64388/IREV9I4-1711482-9100

Abstract

The optimal control model with five different control strategies; the control effort on vaccination (u1), the control effort on public health campaigns (u2), the control effort on tuberculosis case detection (u3), the control effort on quarantine (u4) and the control effort on sanitarium (u5) is formulated and analyzed using Pontrayagin?s maximum principle. The numerical simulations of the optimal control model have been applied to dynamics of TB in Mubi North Local Governt Area of Adamawa State and the results have shown that tuberculosis infection can be effectively controlled in Mubi Northn provided that 35.69% control effort on vaccination (u1), 35.69% control effort on public health campaign (u2), 0.0642% control effort on tuberculosis case detection (u3), 28.55% control effort on quarantine (u4), and 0.0021% control effort on sanitarium (u5) are continuously implemented.

Keywords

Tuberculosis, Optimal Control, Public Health Campaign, Quarantine, Sanitarium.

References

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[2] Andest, J. N. Samuel Musa. Stability analysis of dynamics of Tuberculosis with control strategies. ADSUTSR 12(2), 2024.

[3] Agusto, F.B. (2009) optimal chemoprophylaxis and treatment control strategies of TB Transmission model. World Journal of modelling and simulation, 5(3):163-173

[4] Agusto F. and Adekunle (2014), Optimal Control of a two strain tuberculosis HIV/AIDS co-infection model. Biosystems, Vol 119, 20 -44

[5] Ahmadin and Fatmawati (2014) mathematical modeling of drug resistance in Tuberculosis transmission and optimal control treatment. Applied Mathematical Sciences, Vol. 8, no 92, 4547-4559.

[6] Athithan S. and Ghosh M. (2015) optimal control of tuberculosis with case detection and treatment. World Journal of Modelling and Simulation. Vol. 11 No, 2, 11-122

[7] Bowong S., and Alaoui A. (2013). Optimal intervention strategies for tuberculosis. Common Non-linear Sci Numer Simulat vol 18, 1441-1453

[8] Centers for Disease control and prevention (2000). Core curriculum on TB. What the clinician should know (4th edition). Allanta, GA; US department of health and human service.

[9] Daniel, O. and Andrei, K. (2007). Dynamics of TB: The effect of direct Observation therapy strategy (DOTs) in Nigeria, J. Math. Modeling of Natural Phenomena 2 (1). 101 – 113.

[10] Fatmawati & Hengki Tasman (2016). An optimal treatment control of TB-HIV co-infection. International Journal of Mathematics and Mathematical Sciences.

[11] Nyerere, N., Luboobi, L.S & Nkansah-Gyekye,Y.(2014). Bifurcation and Stability Analysis of the Dynamics of TB Model Incorporating, Vaccination, Screening and Treatment. Commun. Math.Biol.Neurosci.

[12] Pontryagin, L. S. Boltyanskii, V. G., Gankrelize, R. V. & Mishchenko, E. F. (1962). The mathematical theory of optical process. New York, London; John Wiley and Sons.

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[14] World Health Organisation (2013). United Nations. Global TB control: epidemiology, strategy, control. Geneva.

[15] Zaman G., Kang Y., Jung I. (2009) optimal treatment of an SIR epidemic model with time delay. Biosystems, 98: 43-50.

How to cite this paper

Njida James Andest, Lazarus Gayus Ndatuwong, Paul Inuwa Dalatu "Optimal Control Model for the Dynamics of Tuberculosis in Mubi North Local Government Adamawa State of Nigeria" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 1187-1201 https://doi.org/10.64388/IREV9I4-1711482-9100
Njida James Andest, Lazarus Gayus Ndatuwong, Paul Inuwa Dalatu "Optimal Control Model for the Dynamics of Tuberculosis in Mubi North Local Government Adamawa State of Nigeria" Iconic Research And Engineering Journals, vol. 9, no. 4, Oct. 2025, doi: https://doi.org/10.64388/IREV9I4-1711482-9100
Njida James Andest, Lazarus Gayus Ndatuwong, Paul Inuwa Dalatu (2025). Optimal Control Model for the Dynamics of Tuberculosis in Mubi North Local Government Adamawa State of Nigeria. Iconic Research And Engineering Journals, 9(4). doi: https://doi.org/10.64388/IREV9I4-1711482-9100
Njida James Andest, Lazarus Gayus Ndatuwong, Paul Inuwa Dalatu "Optimal Control Model for the Dynamics of Tuberculosis in Mubi North Local Government Adamawa State of Nigeria" Iconic Research And Engineering Journals, vol. 9, no. 4, Oct. 2025. Crossref, https://doi.org/10.64388/IREV9I4-1711482-9100
@article{1711482,
      author = {Njida James Andest, Lazarus Gayus Ndatuwong, Paul Inuwa Dalatu},
      title = {Optimal Control Model for the Dynamics of Tuberculosis in Mubi North Local Government Adamawa State of Nigeria},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {4},
      pages = {1187-1201},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711482.pdf},
      abstract = {The optimal control model with five different control strategies; the control effort on vaccination (u1), the control effort on public health campaigns (u2), the control effort on tuberculosis case detection (u3), the control effort on quarantine (u4) and the control effort on sanitarium (u5) is formulated and analyzed using Pontrayagin?s maximum principle. The numerical simulations of the optimal control model have been applied to dynamics of TB in Mubi North Local Governt Area of Adamawa State and the results have shown that tuberculosis infection can be effectively controlled in Mubi Northn provided that 35.69% control effort on vaccination (u1), 35.69% control effort on public health campaign (u2), 0.0642% control effort on tuberculosis case detection (u3), 28.55% control effort on quarantine (u4), and 0.0021% control effort on sanitarium (u5) are continuously implemented.},
      keywords = {Tuberculosis, Optimal Control, Public Health Campaign, Quarantine, Sanitarium.},
      month = {October},
      doi = {https://doi.org/10.64388/IREV9I4-1711482-9100}
  }