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Mathematical Modelling of the Effects Funding on HIV Dynamics Among Truckers and Female Sex Workers Along the Kenyan Northern Corridor Highway

Received: 20 July 2022     Accepted: 4 August 2022     Published: 12 August 2022
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Abstract

The Southern and Eastern parts of Africa are the most hit by HIV/AIDS in the world and a huge financial commitment is required to control the spread of the disease. Of these countries, Kenya and South Africa have been able to increase prevention and treatment services due to their financial commitment to fighting the epidemic. However, studies have shown that most of the financial commitment comes from private donors and the private sectors are recently becoming reluctant to release funds. It is therefore important to ensure that the available funding is effectively utilised. Studies in 2018 show that infections occurred mostly among the key populations on the Kenyan Northern Corridor highway; such as sex workers and truckers. Moreso, transactional sex which involves cash transfer is the main mode of transmission of HIV/AIDS along the Northern corridor highway in Kenya. In this paper, we study the effect of funding on HIV transmission between truckers and female sex workers. A mathematical model with funding parameters is developed and analysed to determine the effects of funding on the HIV transmission dynamics between truckers and female sex workers. The reproduction number is obtained using the next-generation matrix and the conditions for the stability of the equilibrium points are established. The model is fed into the MATLAB ode45 solver and a numerical simulation is carried out. The results show that increasing circumcision funding reduces the rate of migration from the Susceptible class to the Infected class. Also, increasing treatment funding increases the Treatment class and reduces the overall number of AIDS-related.

Published in Advances in Applied Sciences (Volume 7, Issue 3)
DOI 10.11648/j.aas.20220703.14
Page(s) 52-64
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), 2022. Published by Science Publishing Group

Keywords

HIV/AIDS, Funding, Transmission Dynamics, Truckers, Female Sex Workers

References
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Cite This Article
  • APA Style

    Ancent Makau Kimulu, Winifred Nduku Mutuku, Samuel Musili Mwalili, David Malonza, Abayomi Samuel Oke. (2022). 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, 7(3), 52-64. https://doi.org/10.11648/j.aas.20220703.14

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    ACS Style

    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. Adv. Appl. Sci. 2022, 7(3), 52-64. doi: 10.11648/j.aas.20220703.14

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    AMA Style

    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. Adv Appl Sci. 2022;7(3):52-64. doi: 10.11648/j.aas.20220703.14

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  • @article{10.11648/j.aas.20220703.14,
      author = {Ancent Makau Kimulu and Winifred Nduku Mutuku and Samuel Musili Mwalili and David Malonza and Abayomi Samuel Oke},
      title = {Mathematical Modelling of the Effects Funding on HIV Dynamics Among Truckers and Female Sex Workers Along the Kenyan Northern Corridor Highway},
      journal = {Advances in Applied Sciences},
      volume = {7},
      number = {3},
      pages = {52-64},
      doi = {10.11648/j.aas.20220703.14},
      url = {https://doi.org/10.11648/j.aas.20220703.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20220703.14},
      abstract = {The Southern and Eastern parts of Africa are the most hit by HIV/AIDS in the world and a huge financial commitment is required to control the spread of the disease. Of these countries, Kenya and South Africa have been able to increase prevention and treatment services due to their financial commitment to fighting the epidemic. However, studies have shown that most of the financial commitment comes from private donors and the private sectors are recently becoming reluctant to release funds. It is therefore important to ensure that the available funding is effectively utilised. Studies in 2018 show that infections occurred mostly among the key populations on the Kenyan Northern Corridor highway; such as sex workers and truckers. Moreso, transactional sex which involves cash transfer is the main mode of transmission of HIV/AIDS along the Northern corridor highway in Kenya. In this paper, we study the effect of funding on HIV transmission between truckers and female sex workers. A mathematical model with funding parameters is developed and analysed to determine the effects of funding on the HIV transmission dynamics between truckers and female sex workers. The reproduction number is obtained using the next-generation matrix and the conditions for the stability of the equilibrium points are established. The model is fed into the MATLAB ode45 solver and a numerical simulation is carried out. The results show that increasing circumcision funding reduces the rate of migration from the Susceptible class to the Infected class. Also, increasing treatment funding increases the Treatment class and reduces the overall number of AIDS-related.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Mathematical Modelling of the Effects Funding on HIV Dynamics Among Truckers and Female Sex Workers Along the Kenyan Northern Corridor Highway
    AU  - Ancent Makau Kimulu
    AU  - Winifred Nduku Mutuku
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    DO  - 10.11648/j.aas.20220703.14
    T2  - Advances in Applied Sciences
    JF  - Advances in Applied Sciences
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    SN  - 2575-1514
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    AB  - The Southern and Eastern parts of Africa are the most hit by HIV/AIDS in the world and a huge financial commitment is required to control the spread of the disease. Of these countries, Kenya and South Africa have been able to increase prevention and treatment services due to their financial commitment to fighting the epidemic. However, studies have shown that most of the financial commitment comes from private donors and the private sectors are recently becoming reluctant to release funds. It is therefore important to ensure that the available funding is effectively utilised. Studies in 2018 show that infections occurred mostly among the key populations on the Kenyan Northern Corridor highway; such as sex workers and truckers. Moreso, transactional sex which involves cash transfer is the main mode of transmission of HIV/AIDS along the Northern corridor highway in Kenya. In this paper, we study the effect of funding on HIV transmission between truckers and female sex workers. A mathematical model with funding parameters is developed and analysed to determine the effects of funding on the HIV transmission dynamics between truckers and female sex workers. The reproduction number is obtained using the next-generation matrix and the conditions for the stability of the equilibrium points are established. The model is fed into the MATLAB ode45 solver and a numerical simulation is carried out. The results show that increasing circumcision funding reduces the rate of migration from the Susceptible class to the Infected class. Also, increasing treatment funding increases the Treatment class and reduces the overall number of AIDS-related.
    VL  - 7
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Author Information
  • Department of Mathematics and Actuarial Science, Kenyatta University, Nairobi, Kenya

  • Department of Mathematics and Actuarial Science, Kenyatta University, Nairobi, Kenya

  • Department of Mathematics, Jomo Kenyatta University of Science and Technology, Juja, Kenya

  • Department of Mathematics and Actuarial Science, South Eastern Kenya University, Kitui, Kenya

  • Department of Mathematical Sciences, Adekunle Ajasin University, Akungba Akoko, Nigeria

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