[1] | Afaya, R. A., Bam, V., Azongo, T. B., and Afaya, A. (2020). Knowledge of chronic complications of diabetes among persons living with type 2 diabetes mellitus in northern Ghana. PLOS ONE, 15(10): e0241424. |
[2] | Ajmera, I., Swat, M., Laibe, C., Novere, N. L., and Chelliah, V. (2013). The impact of mathematical modeling on the understanding of diabetes and related complications. CPT: Pharmacometrics & Systems Pharmacology, 2(7): 54. |
[3] | Ali, H. A., Daneshkhah, A., Boutayeb, A., and Mukandavire, Z. (2022). Examining Type 1 Diabetes Mathematical Models Using Experimental Data. International Journal of Environmental Research and Public Health, 19(2): 737. |
[4] | Aye, P. O., Adeyemo, K. A., Oke, A. S., and Omotoye, A. E. (2021). Analysis of Mathematical Model for the Dynamics of Diabetes Mellitus and Its Complications. Applied Mathematics and Computational Intelligence, 10(1): 57–77. |
[5] | Bada, O. I., Oke, A. S., Mutuku, W. N., and Aye, P. O. (2020). Analysis of the Dynamics of SI-SI-SEIR Avian Influenza A (H7N9) Epidemic Model with Re-infection. Earthline Journal of Mathematical Sciences, pages 43-73. |
[6] | Boutayeb, A. and Derouich, M. (2002). Age structured models for diabetes in East Morocco. Mathematics and Computers in Simulation, 58(3): 215-229. |
[7] | Boutayeb, A., Twizell, E. H., Achouayb, K., and Chetouani, A. (2004). A mathematical model for the burden of diabetes and its complications. BioMedical Engineering OnLine, 3(1): 20. |
[8] | Guariguata, L., Whiting, D. R., Hambleton, I., Beagley, J., Linnenkamp, U., and Shaw, J. E. (2014). Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Research and Clinical Practice, 103(2): 137-149. |
[9] | Karachaliou, F., Simatos, G., and Simatou, A. (2020). The Challenges in the Development of Diabetes Prevention and Care Models in Low-Income Settings. Frontiers in Endocrinology, 11. |
[10] | Khan, M. A. B., Hashim, M. J., King, J. K., Govender, R. D., Mustafa, H., and Kaabi, J. A. (2019). Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends. Journal of Epidemiology and Global Health, 10(1): 107. |
[11] | Kimulu, A. M., Mutuku, W. N., Mwalili, S. M., Malonza, D., and Oke, A. S. (2022). Male Circumcision: A Means to Reduce HIV Transmission between Truckers and Female Sex Workers in Kenya. Journal of Mathematical Analysis and Modeling, 3(1): 50-59. |
[12] | Li, J., Kuang, Y., and Mason, C. C. (2006). Modeling the glucose-insulin regulatory system and ultradian insulin secretory oscillations with two explicit time delays. Journal of Theoretical Biology, 242(3): 722-735. |
[13] | Mohamed, S. F., Mwangi, M., Mutua, M. K., Kibachio, J., Hussein, A., Ndegwa, Z., Owondo, S., Asiki, G., and Kyobutungi, C. (2018). Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey. BMC Public Health, 18(3):1215. |
[14] | Nasir, H. and Daud, A. A. M. (2021). Population models of diabetes mellitus by ordinary differential equations: a review. Mathematical Population Studies, pages 1–33. |
[15] | Ngugi, H. N., Mutuku, F. M., Ndenga, B. A., Musunzaji, P. S., Mbakaya, J. O., Aswani, P., Irungu, L. W., Mukoko, D., Vulule, J., Kitron, U., and LaBeaud, A. D. (2017). Characterization and productivity profiles of Aedes aegypti (L.) breeding habitats across rural and urban landscapes in western and coastal Kenya. Parasites & Vectors, 10(1): 331. |
[16] | Ngwiri, T., Were, F., Predieri, B., Ngugi, P., and Iughetti, L. (2015). Glycemic Control in Kenyan Children and Adolescents with Type 1 Diabetes Mellitus. International Journal of Endocrinology, 2015: 1-7. |
[17] | Oke, A. (2017). Convergence of Differential Transform Method for Ordinary Differential Equations. Journal of Advances in Mathematics and Computer Science, 24(6): 1-17. |
[18] | Oke, A. S. and Bada, O. I. (2019). Analysis of the dynamics of avian influenza A (H7N9) epidemic model with re-infection. Open Journal of Mathematical Sciences, 3(1): 417–432. |
[19] | Oke, A. S., Bada, O. I., Rasaq, G., and Adodo, V. (2021). Mathematical analysis of the dynamics of COVID-19 in Africa under the influence of asymptomatic cases and re-infection. Mathematical Methods in the Applied Sciences, 45(1): 137-149. |
[20] | Oke, A. S., Fatunmbi, E. O., Animasaun, I. L., and Juma, B. A. (2022). Exploration of ternaryhybrid nanofluid experiencing Coriolis and Lorentz forces: case of three-dimensional flow of water conveying carbon nanotubes, graphene, and alumina nanoparticles. Waves in Random and Complex Media, pages 1–20. |
[21] | Otieno, P. O., Kiroro, F., Runyenje, C., and Kamau, P. (2021). Unmet need for primary healthcare and associated individual and household-level factors in Kenya: results from a national survey. BMJ Open, 11(5). |
[22] | Papatheodorou, K., Banach, M., Bekiari, E., Rizzo, M., and Edmonds, M. (2018). Complications of Diabetes 2017. Journal of Diabetes Research, 2018: 1-4. |
[23] | Regassa, L. D. and Tola, A. (2021). Magnitude and predictors of hospital admission, readmission, and length of stay among patients with type 2 diabetes at public hospitals of Eastern Ethiopia: a retrospective cohort study. BMC Endocrine Disorders, 21(1). |
[24] | World Health Organization (2016). Global Report on Diabetes. WORLD HEALTH ORGN. |
[25] | Zafar, Z. U. A., Hussain, M. T., Inc, M., Baleanu, D., Almohsen, B., Oke, A. S., and Javeed, S. (2022). Fractional-order dynamics of human papillomavirus. Results in Physics, 34:105281. |
[26] | Zhang, J., Jia, J., and Song, X. (2014). Analysis of an SEIR Epidemic Model with Saturated Incidence and Saturated Treatment Function. The Scientific World Journal, 2014: 1-11. |