HIV destroys T-cells in order to target the body's defence mechanism. Without treatment HIV infection advances in stages causing destruction and reduction in T-cells thus, rendering the body incapable of fighting other infections such as respiratory infections, sexually transmitted diseases and some cancers. Kaposi’s sarcoma is the cancer that allows a tumour to grow in an HIV patient and its presence in a patient is an indication that HIV has fully developed into AIDS in the patient. Research has indicated that AIDS-associated Kaposi Sarcoma was on the rise in sub-Saharan Africa until the introduction of Antiretroviral Therapy (ART). The Kenyan community has struggled in the past decade to combat the spread of HIV/AIDS and successes have been recorded in many areas. However, Kaposi Sarcoma, an opportunistic infection, has continued to rise steadily through the years. In this study, a simple model for the coinfection of HIV/AIDS and KS is developed and studied. The model solution is explored for positivity and boundedness while the DFE point is determined for stability where it was verified that the infection-free equilibrium E0 is locally asymptotically stable when . The NGM is used to derive the basic reproduction number of the model. By providing treatment to the HIV and the co-infected population immune system is strengthened and thus progression rate to AIDS is reduced.
Published in | Mathematics and Computer Science (Volume 8, Issue 1) |
DOI | 10.11648/j.mcs.20230801.11 |
Page(s) | 1-10 |
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), 2023. Published by Science Publishing Group |
HIV/AIDS, Coinfection, Kaposi’s Sarcoma, Treatment, Reproduction Number
[1] | Wang, L. & Li, M. Y. (2006). Mathematical analysis of the global dynamic of a model for HIV infection of CD4+ T cells. Mathematical Biosciences, 200 (1), 44-57. |
[2] | Onyango, J. F & Njiru, A. (2004). Kaposi’s sarcoma in a Nairobi hospital. East Africa Medical Journal, 81 (3), 120–123. |
[3] | Lupia, R., Wabuyia, P. B., Otiato, P., Fang, C. T. & Tsai, F. J. (2017). Risk factors for Kaposi's Sarcoma in human immunodeficiency virus patients after initiation of antiretroviral therapy: a nested case-control study in Kenya. Journal of Microbiology, Immunology and Infection, 50 (6), 781–788. |
[4] | Betsem, E., Cassar, O., Afonso, P. V., Fontanet, A., Froment, A. & Gessain A. (2014). Epidemiology and genetic variability of HHV-8/KSHV in Pygmy and Bantu populations in Cameroon. PLOS Neglected Tropical Diseases, 8 (5). |
[5] | Warpe, B. M. (2014). Kaposi sarcoma as initial presentation of HIV infection. North America Journal of Medical Science, 6 (12), 650-652. |
[6] | Srivastava, P. K., Banerjee, M. and Chandra, P. (2009). Modeling the drug therapy for HIV infection. Journal of Biological Systems, 17 (2), 213–223. |
[7] | Cai, L., Li, X., Ghosh, M., & Guo, B. (2009). Stability analysis of an HIV/AIDS epidemic model with treatment. Journal of computational and Applied Mathematics, 229, 313-323. |
[8] | Ogunlaran, O. M & Noutchie, S. C. O. (2016). Mathematical model for an effective management of HIV infection. BioMed Research International, 2016, 1–6. |
[9] | Hikal, M. M. & Zahra, W. K. (2016). On Fractional Model of an HIV/AIDS with Treatment and Time Delay. Progress in Fractional Differentiation and Applications, 2 (1), 55-66. |
[10] | Vaidya, N. K and Rong, L. (2017). Modeling pharmacodynamics on HIV latent infection: Choice of drugs is key to successful cure via early therapy. Society for Industrial and Applied Mathematics, 77 (5), 1781-1804. |
[11] | Tarfulea, N. E. (2018). A Mathematical Model of HIV Infection with Cellular and Immune Delays. An International Journal of Applied Mathematics & Information Sciences, 12 (5), 917-921. |
[12] | Zhou, X., Song, X. & Shi, X. (2008). A differential equation model of HIV infection of CD4+ T cells with cure rate. Journal of Mathematical Analysis and Applications, 342 (2), 1342-1355. |
[13] | Omondi, E. O., Mbogo, R. W. & Luboobi, L. S. (2018). Mathematical modelling of the impact of testing, treatment and control of HIV transmission in Kenya. Cogent Mathematics & Statistics, 5, 1475590. |
[14] | Chimbola, O. M. (2020). Mathematical Model of Classical Kaposi’s sarcoma. Applied Mathematics, 11, 579-600. |
[15] | Fang, Q., Liu, Z., Zhang, Z., Zeng, Y., & Zhang, T. (2017). Prevalence of Kaposi’s sarcoma-associated herpesvirus among intravenous drug users: A systematic review and meta-analysis. Virol Sin, 32 (5), 415–422. |
[16] | Lungu, E., Massaro, T. J., Ndelwa, E., Ainea, N., Chibaya, S. & Malunguza, N. J. (2013). Mathematical Modeling of the HIV/Kaposi’s Sarcoma Coinfection Dynamics in Areas of High HIV Prevalence. Computational and Mathematical Methods in Medicine, 2013, Article ID: 753424, 12 p. |
[17] | Abhishek Pandey and Alison P. Galvani. The global burden of HIV and prospects for control. The Lancet HIV, 6 (12): e809–e811, dec 2019. |
[18] | Abayomi Samuel Oke, Oluwafemi Isaac Bada, Ganiyu Rasaq, Victoria Adodo, (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. DOI: 10.30538/oms2019.0084. |
[19] | Zain U. Abadin Zafar, M. T. Hussain, Mustafa Inc, Dumitru Baleanu, Bandar Almohsen, Abayomi S. Oke and Shumaila Javeed, (2022). Fractional-order dynamics of human papillomavirus. Results in Physics 34: p. 105281. DOI: 10.1016/j.rinp.2022.105281. |
[20] | Abayomi Samuel Oke and Oluwafemi Isaac Bada (2019). Analysis of the dynamics of avian influenza A (H7N9) epidemic model with re-infection. Open Journal of Mathematical Sciences, 3 (1): 417-432. DOI: 10.30538/oms2019.0084. |
[21] | Ancent Makau Kimulu, Winifred Nduku Mutuku, Samuel Musili Mwalili, David Malonza, Abayomi Samuel Oke, Mathematical Modelling of the Effects Funding on HIV Dynamics Among Truckers and Female Sex Workers Along the Kenyan Northern Corridor Highway, Advances in Applied Sciences. Volume 7, Issue 3, September 2022, pp. 52-64. doi: 10.11648/j.aas.20220703.14. |
[22] | Kimulu, A. M., Mutuku, W. N., Mwalili, S. M., Malonza, D., & 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. https://doi.org/10.48185/jmam.v3i1.424 |
[23] | Okundalaye OO, Othman WAM, Oke AS (2022). Toward an efficient approximate analytical solution for 4-compartment COVID-19 fractional mathematical model. J Comput Appl Math. 2022 Dec 15; 416: 114506. doi: 10.1016/j.cam.2022.114506. Epub 2022 Jul 15. PMID: 35854870; PMCID: PMC9284567. |
[24] | A. S. Oke (2017). Convergence of differential transform method for ordinary differential equations. J Adv Math Comput Sci.; 24 (6): 1-17. |
[25] | Abayomi S. Oke, Ephesus O. Fatunmbi, Isaac L. Animasaun & Belindar A. Juma (2022). Exploration of ternary-hybrid 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, DOI: 10.1080/17455030.2022.2123114. |
APA Style
Joy Teng’an Juma, Isaac Chepkwony, Abayomi Samuel Oke. (2023). Mathematical Model for Coinfection of HIV/AIDS and Kaposi’s Sarcoma with Treatment. Mathematics and Computer Science, 8(1), 1-10. https://doi.org/10.11648/j.mcs.20230801.11
ACS Style
Joy Teng’an Juma; Isaac Chepkwony; Abayomi Samuel Oke. Mathematical Model for Coinfection of HIV/AIDS and Kaposi’s Sarcoma with Treatment. Math. Comput. Sci. 2023, 8(1), 1-10. doi: 10.11648/j.mcs.20230801.11
AMA Style
Joy Teng’an Juma, Isaac Chepkwony, Abayomi Samuel Oke. Mathematical Model for Coinfection of HIV/AIDS and Kaposi’s Sarcoma with Treatment. Math Comput Sci. 2023;8(1):1-10. doi: 10.11648/j.mcs.20230801.11
@article{10.11648/j.mcs.20230801.11, author = {Joy Teng’an Juma and Isaac Chepkwony and Abayomi Samuel Oke}, title = {Mathematical Model for Coinfection of HIV/AIDS and Kaposi’s Sarcoma with Treatment}, journal = {Mathematics and Computer Science}, volume = {8}, number = {1}, pages = {1-10}, doi = {10.11648/j.mcs.20230801.11}, url = {https://doi.org/10.11648/j.mcs.20230801.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20230801.11}, abstract = {HIV destroys T-cells in order to target the body's defence mechanism. Without treatment HIV infection advances in stages causing destruction and reduction in T-cells thus, rendering the body incapable of fighting other infections such as respiratory infections, sexually transmitted diseases and some cancers. Kaposi’s sarcoma is the cancer that allows a tumour to grow in an HIV patient and its presence in a patient is an indication that HIV has fully developed into AIDS in the patient. Research has indicated that AIDS-associated Kaposi Sarcoma was on the rise in sub-Saharan Africa until the introduction of Antiretroviral Therapy (ART). The Kenyan community has struggled in the past decade to combat the spread of HIV/AIDS and successes have been recorded in many areas. However, Kaposi Sarcoma, an opportunistic infection, has continued to rise steadily through the years. In this study, a simple model for the coinfection of HIV/AIDS and KS is developed and studied. The model solution is explored for positivity and boundedness while the DFE point is determined for stability where it was verified that the infection-free equilibrium E0 is locally asymptotically stable when . The NGM is used to derive the basic reproduction number of the model. By providing treatment to the HIV and the co-infected population immune system is strengthened and thus progression rate to AIDS is reduced.}, year = {2023} }
TY - JOUR T1 - Mathematical Model for Coinfection of HIV/AIDS and Kaposi’s Sarcoma with Treatment AU - Joy Teng’an Juma AU - Isaac Chepkwony AU - Abayomi Samuel Oke Y1 - 2023/01/17 PY - 2023 N1 - https://doi.org/10.11648/j.mcs.20230801.11 DO - 10.11648/j.mcs.20230801.11 T2 - Mathematics and Computer Science JF - Mathematics and Computer Science JO - Mathematics and Computer Science SP - 1 EP - 10 PB - Science Publishing Group SN - 2575-6028 UR - https://doi.org/10.11648/j.mcs.20230801.11 AB - HIV destroys T-cells in order to target the body's defence mechanism. Without treatment HIV infection advances in stages causing destruction and reduction in T-cells thus, rendering the body incapable of fighting other infections such as respiratory infections, sexually transmitted diseases and some cancers. Kaposi’s sarcoma is the cancer that allows a tumour to grow in an HIV patient and its presence in a patient is an indication that HIV has fully developed into AIDS in the patient. Research has indicated that AIDS-associated Kaposi Sarcoma was on the rise in sub-Saharan Africa until the introduction of Antiretroviral Therapy (ART). The Kenyan community has struggled in the past decade to combat the spread of HIV/AIDS and successes have been recorded in many areas. However, Kaposi Sarcoma, an opportunistic infection, has continued to rise steadily through the years. In this study, a simple model for the coinfection of HIV/AIDS and KS is developed and studied. The model solution is explored for positivity and boundedness while the DFE point is determined for stability where it was verified that the infection-free equilibrium E0 is locally asymptotically stable when . The NGM is used to derive the basic reproduction number of the model. By providing treatment to the HIV and the co-infected population immune system is strengthened and thus progression rate to AIDS is reduced. VL - 8 IS - 1 ER -