STABILITY ANALYSIS OF THE MODELS FOR MALARIA'S EFFECTS ON HUMANS BASED ON THE GENETIC STRUCTURE
Abstract
Malaria, according to encyclopedia Britannica, is a relapsing infection caused by plasmodium, transmitted to humans through the bite of an anopheles mosquito. The composition of the genes in humans can either be homozygous (AA, SS) or heterozygous (AS), the homozygous are usually prone to the infection of malaria. The homozygous sickle cell genes (SS) encounter serious problems with blood shortage due to the sickle cell, this makes the malaria infection in them more complicated. The heterozygous sickle cell, however, develops a resistance to the infection through the immunity offered by the single sickle cell. This paper studies malaria’s effects on the homozygous and heterozygous genes through the system of ordinary differential equations. The model was analyzed for stability, the reproduction number was obtained, and a simulation was performed using the reproduction number and some of the parameters to find out which of the parameters is most sensitive to the control of the spread of malaria. We found that contact rates and infection rates are highly sensitive parameters in malaria transmission. Therefore, minimizing mosquito-human contact is essential for disease control. Furthermore, our results showed that individuals with sickle cell trait have improved recovery rates, underscoring the protective benefits of this trait against malaria.
References
Akinwande, N. I. (1996). A Mathematical Model of Yellow Fever Endemics. Afrika Mathematika, 6: 50-59.
Akinwande, N. I. (2018). Introductory notes on biomathematics a paper presented at the third Workshop on mathematical modelling, Department of Mathematics, University of Nigeria, Nsukka
Amber Yates, M. D (2022), 12 Things You Should Know About Sickle Cell Disease, https://www.verywellhealth.com/amber-yates-md-40129 medically reviewed by Jenny Sweigard, M. D. Updated on June 07, 2022.
Diekmann, O, Heesterbeek, J. A. P. & Metz, J. (2000). On the definition and the computation of the Basic Reproduction Ratio (R_o) in the model for infectious Diseases in heterogeneous populations. Journal of Mathematical Biology, 28(4), 365 382. DOI: https://doi.org/10.1007/BF00178324
https://www.cdc.gov/malaria/about/biology/index.html
Eridani, S. (2011). Sickle cell protection from malaria. Hematology Reports, 3(3), e24. https://doi.org/10.4081/hr.2011.e24 DOI: https://doi.org/10.4081/hr.2011.e24
Grosse, S. D., Odame, I., Atrash, H. K., Amendah, D. D., Piel, F. B., & Williams, T. N. (2011). Sickle cell disease in Africa: a neglected cause of early childhood mortality. American journal of preventive medicine, 41(6 Suppl 4), S398S405. https://doi.org/10.1016/j.amepre.2011.09.013 DOI: https://doi.org/10.1016/j.amepre.2011.09.013
HENNA, M. (2019),How Sickle Cell Protects Against Malaria? Written by June 2019,
Somma, A. S., Akinwande, N. I., Jiya, M., & Abdulrahaman, S. (2017). Stability Analysis of Diseases Free Equilibrium (DFE) State of mathematical model of Yellow Fever incorporating Secondary Host. Pacific Journal of Science and Technology, 18(2): 110-119
Tsaras, G., Owusu-Ansah, A., Boateng, F. O., & Amoateng-Adjepong, Y. (2009). Complications associated with sickle cell trait: A brief narrative review. American Journal of Medicine, 122 (6), 507512 DOI: https://doi.org/10.1016/j.amjmed.2008.12.020
Van den Driessche, P, & Watmough, J. (2002). Reproduction numbers and sub-threshold Endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences, 180, 29-48. https://doi.org/10.1016/s0025-5564(02)00108-6 DOI: https://doi.org/10.1016/S0025-5564(02)00108-6
Copyright (c) 2025 FUDMA JOURNAL OF SCIENCES

This work is licensed under a Creative Commons Attribution 4.0 International License.
FUDMA Journal of Sciences