

Modelling Optimal Control of Heavy Alcohol Consumption on the Transmission Dynamics of HIV/AIDS
Abstract
communities leading to behavioural and physiological effects on neuro-cognitive function. This results into high-risk sexual behaviour mainly due to impaired decision-making capacity and impulsivity, a catalyst of HIV infection and ultimately AIDS. This paper investigates the best control combination for HIV/AIDS pandemic in a community with alcohol abuse problem. It proposes a compartmental deterministic model for the transmission dynamics of HIV/AIDS in a community plagued with alcohol abuse. The paper determines the implementation of optimal control strategies involving reduction of new HIV cases through the ABC (abstinence, being faithful, and use of condoms) campaign, treatment of alcohol abusers and prevention of alcohol relapse using Pontryagin's maximum principle. Numerical simulations are implemented using the forward-backward sweep method, and the pertinent results are presented graphically and discussed quantitatively. Based on performance, results from numerical simulations depict that the best results are obtained when the three strategies are used simultaneously.
Keywords
References
Agusto, F. B. 2009. Application of Optimal Control to the Epidemiology of HIV-Malaria Co-infection. Advances in Disease Epidemiology, 2012(81): 141–170.
Agusto, F. B. & K. O. Okosun. 2010. Optimal Seasonal Biocontrol for Eichhornia Crassipes. International Journal of Biomathematics, 3(3): 383–397. https://doi.org/ 10.1142/ S1793 5245 10001021
Beaglehole, R., R. Bonita, R. Horton, C. Adams, G. Alleyne, P. Asaria, …, … J. Watt. 2011. Priority Actions for the Non-communicable Disease Crisis. The Lancet, 377(9775): 1438–1447. https://doi.org/10.1016/S0140-6736(11)60393-0
Berman, A. & R. J. Plemmons, 1994. Nonnegative Matrices in the Mathematical Sciences. In Society for Industrial and Applied Mathematics.
Bhunu, C. P. 2012. A mathematical Analysis of Alcoholism. World Journal of Modelling and Simulation, 8(2): 124–134.
Bhunu, C. P., W. Garira & G. Magombedze. 2009. Mathematical Analysis of a Two Strain HIV/AIDS model With Antiretroviral Treatment. Acta Biotheoretica, 57(3), 361–381.
Birkhoff, G. & G.-C. Rota. 1989. Ordinary Differential Equations (4th ed.). John Wiley and Sons.
Bonyah, E., M. A. Khan, K. O. Okosun & J. F. Gómez-Aguilar. 2019. Modelling the Effects of Heavy Alcohol Consumption on the Transmission Dynamics of gonorrhea With Optimal Control. Mathematical Biosciences, 309(December 2018): 1–11. https://doi.org/10.1016/j.mbs.2018.12.01 Braithwaite, R. S., K. A Nucifora,., J. Kessler, C. Toohey, S. M. Mentor, L. M. Uhler, M. S. Roberts & K. Bryant, 2014. Impact of Interventions Targeting Unhealthy Alcohol Use in Kenya on HIV Transmission and AIDS-Related Deaths. Alcoholism: Clinical and Experimental Research, 38(4), 1059–1067. https://doi.org/10.1111/acer.12332
Castens, V., F. Luginga, B. Shayo & C. Tolias. 2012. Alcohol Abuse in Urban Moshi, Tanzania.
Castillo-Chavez, C., Z. Feng & W. Huang. 2002. On the Computation of R 0 and its Role on Global Stability. 229–250. https://doi.org/10.1007/978-1-4757-3667-0_13
Fleming, W. H. & R. W. Rishel. 2012. Deterministic and Stochastic Optimal Control (Vol. 1). Springer Science & Business Media.
Jasinski, D. R. & J. E. Henningfield. 1989. Human Abuse Liability Assessment by Measurement of Subjective and Physiological Effects. Testing for Abuse Liability of Drugs in Humans, 73–100.
Joint United Nations Programme on HIV/AIDS & WHO. 2006. AIDS Epidemic Update, December 2006. World Health Organization.
Joshi, H. R., S. Lenhart, M. Y. Li & L. Wang. 2006. Optimal Control Methods Applied to Disease Models. Contemporary Mathematics, 410: 187–208.
Lutambi, A. M., M. A. Penny, T. Smith & N. Chitnis. 2013. Mathematical Modelling of Mosquito Dispersal in a Heterogeneous Environment. Mathematical Biosciences, 241(2): 198–216. https://doi.org/10.1016/j.mbs.2012.11.013
Maksimov, V. I. 2013. On an Algorithm for Dynamic Reconstruction of the Input. Differential Equations, 49(1), 88–100. https://doi.org/10.1134/S0012266113010096
Mushayabasa, S. & C. P. Bhunu. 2011. Modelling the Effects of Heavy Alcohol Consumption on the Transmission Dynamics of Gonorrhea. Nonlinear Dynamics, 66(4): 695–706. https://doi.org/ 10.1007/s11071-011-9942-4
Nuraini, N., R. Irawan & E. S. Zulkifli. 2011. Mathematical Modeling of HIV/AIDS Transmission among Injecting Drug Users with Methadone Therapy. Asian Trans. Basic Appl. Sci, 1: 10–15.
Pandrea, I., K. I. Happel, A. M. Amedee, G. J. Bagby & S. Nelson. 2010. Alcohol’s Role in HIV Transmission and Disease Progression. Alcohol Research & Health.
Sharp, P. M. & B. H. Hahn. 2011. Origins of HIV and the AIDS Pandemic. Cold Spring Harbor Perspectives in Medicine, 1(1). https://doi.org/10.1101/cshperspect.a006841
Steen, R., T. E. Wi, A. Kamali & F. Ndowa. 2009. Control of Sexually Transmitted Infections and Prevention of HIV Transmission: Mending a Fractured Paradigm. Bulletin of the World Health Organization, 87: 858–865.
Thomas, G. & E. M. Lungu. 2009. The Influence of Heavy Alcohol Consumption on HIV Infection and Progression. Journal of Biological Systems, 17(04): 685–712.
Van Den Driessche, P. & J. Watmough. 2002. Reproduction Numbers and Sub-threshold Endemic Equilibria for Compartmental Models of Disease Transmission. Mathematical Biosciences, 180(1–2), 29–48. https://doi.org/10.1016/S0025-5564(02)00108-6.
Refbacks
- There are currently no refbacks.