A Nonlinear Mathematical Model for the Effect of Diabetes Population on a Community

Autori

  • Lubem M. Kwaghkor Department of Mathematics, Nigerian Army University Biu, Borno State, Nigeria Autore https://orcid.org/0000-0001-7160-6534
  • Samuel Adamu Department of Mathematics, Nigerian Army University Biu, Borno State, Nigeria Autore
  • Mohammed Abdullahi Department of Mathematics, Nigerian Army University Biu, Borno State, Nigeria Autore
  • Suleiman Mohammed Department of Mathematics, Nigerian Army University Biu, Borno State, Nigeria Autore

DOI:

https://doi.org/10.62054/ijdm/0101.13

Parole chiave:

Diabetes, Mathematical Model, Simulation, Stability

Abstract

This work presents a compartmental-based mathematical model of susceptible, diabetes without complications, diabetes with minor and major complications to study the effect of diabetes population on the population dynamics of a community. The model is a system of four nonlinear differential equations of first order. The solution of the model was found to exist and is positive by positivity analysis using a contradiction method. The diabetes-free and the diabetes-endemic equilibrium points were also found to be locally asymptotically stable using the Routh-Hurwitz Stability Criterion for a degree n-polynomial. The numerical simulation of the model was carried out using various scenarios and the results show that diabetes population in a community has great effect on the population dynamics of the community either positively or negatively. The results here represent a real-life scenario thereby making the proposed model realistic.

 

Diabetes, Mathematical Model, Simulation, Stability

Riferimenti bibliografici

Alkali, A. M., Ishiyaku, M., Adamu, S. & Umar, D. (2023) Third derivative integrator for the solution of first order initial value problems. Savannah Journal of Science and Engineering Technology, 1(5), 300-306.

American Diabetes Association (2018). Diabetes Basics. Retrieved from https://my.clevelandclinic.org/health/diseases/7104-diabetes-mellitus-anoverview/management-and-treatment.

American Diabetes Association (2020). Diabetes Mellitus: An Overview: Management and Treatment. Retrieved from https://my.clevelandclinic.org/health/diseases/7104-diabetes-mellitus-an verview/management-and-treatment.

Bhunu, C. P., Garira, W., & Mukandavire, Z. (2009). Modeling HIV/AIDS and Tuberculosis Coinfection. Bulletin of Mathematical Biology 71: 1745–1780

Boutayeb, A., Twizell, E. H., Achouayb, K., & Chetouani, A. (2004). A mathematical model for the burden of diabetes and its complications. biomedical Engineering Online, 3(20).

Diekmann, O., Heesterbeek, J.A., & Metz J.A. (1990), On the definition and Computation of the basic reproduction ratio R₀ in models for infectious diseases in heterogeneous population. Journal of Mathematical Biology, 28(4), 365-382

Hill, J., Nielsen, M., & Fox, M. H. (2013). Understanding the Social Factors That Contribute to Diabetes: A Means to Informing Health Care and Social Policies for the Chronically Ill. The Permanente Journal, 17(2):67-72. http://dx.doi.org/10.7812/TPP/12-099

Huo, H. & Qiu, G.M. (2014). Stability of a mathematical model of malaria transmission with relapse. Abstract and Applied Analysis (2014), Pp:1 – 9. http://dx.doi.org/10.1155/2014/289349

IDF (2014). Key findings, 2014. http://www.idf.org/diabetesatlas./update-2014

Kwaghkor L. M., Onah E. S. & Bassi I. G. (2018). Stochastic Modelling of the Effect of Deforestation in Nigeria. Journal of the Nigerian Association of Mathematical Physics. 45 (1). Pp.379 – 387.

Kwaghkor L. M., Onah E. S., Aboiyar, T. & Ikughur, J. A. (2019). Derivation of a Stochastic Labour Market Model from a Semi – Markov Model. International Journal of Mathematical Analysis and Optimization: Theory and Applications. 2019(2). Pp.610-630.

Kwaghkor, L. M. & Luga, T. (2016). Mathematical Model for the Detection and Control of Diabetes. Journal of the Nigerian Association of Mathematical Physics. Vol.35 (2). Pp.253 – 260.

Kwaghkor, L. M., Onah, E. S., Bassi, I. G. & Danjuma, T. (2021). Stochastic Transmission Dynamics of Covid-19 within a Density Dependent Population. FUDMA Journal of Science. Vol.5(2). Pp. 567 – 573. https://doi.org/10.33003/fjs-2021-0502-569

Kwaghkor, L.M., Mohammed, A & Nyamtswam, E. V. (2022). A Mathematical Model for Diabetes Management. FUDMA Journal of Science. Vol. 6 (5). Pp 36 – 40. https://doi.org/10.33003/fjs-2022-0605-1091

Modu, G. U., Hadejia, Y. A., Ahmed, I., Kumam, W., & Thounthong, P. (2021). Analysis of linear and nonlinear mathematical models for monitoring diabetic population with minor and major complications. Thai Journal of Mathematics. 19(3):1004-1027.

Orapine, H. O., Baidu, A. A., & Kwaghkor, L. M. (2023). The Cauchy Problem for Nonlinear Higher Order Partial Differential Equations Using Projected Differential Transform Method. International Journal of Mathematical Sciences and Optimization: Theory and Applications, 9(2), Pp. 74-89. https://doi.org/10.5281/zenodo.10202651

Trawicki, M. B. (2017), Deterministic Seirs Epidemic Model for Modeling Vital Dynamics, Vaccinations, and Temporary Immunity, mathematics, 5(7). Pp. 1-19.

Widyaningsih, P., Affan, R. C., & Saputro, D.R.S. (2018). A Mathematical Model for The Epidemiology of Diabetes Mellitus with Lifestyle and Genetic Factors. Journal of Physics: Conf. Series 1028 (2018) 012110

World Health Organization (1994). Prevention of diabetes mellitus, Report of WHO study group Tech. Rep. Ser. No (144) WHO Geneva.

World Health Organization (2023). Analytical Sheet: March 2023. Integrated African Health Organization. Pp.1-9

Yadav, R. & Maya, (2020). A Mathematical Model for the Study of Diabetes Mellitus. Journal of Physics: Conference Series (1531) 012078. http://dx.doi.org/10.1088/1742-6596/1531/1/012078

Pubblicato

2024-03-20

Come citare

A Nonlinear Mathematical Model for the Effect of Diabetes Population on a Community. (2024). International Journal of Development Mathematics (IJDM), 1(1). https://doi.org/10.62054/ijdm/0101.13

Articoli simili

1-10 di 156

Puoi anche Iniziare una ricerca avanzata di similarità per questo articolo.