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On modelling the in-host dynamics of HIV/HPV co-infection in the human population

  • University of South Africa
  • Wake Forest University

Research output: Contribution to journalArticlepeer-review

Abstract

Mathematical modelling of in-host dynamics has proven to be useful in the control of infectious diseases. An in-host model for the transmission dynamics of the human papillomavirus (HPV) among women living with the human immunodeficiency virus (HIV), incorporating HIV treatment and HPV vaccination is presented. The developed model considers latency and adaptive immune response through cytotoxic T-lymphocytes (CTLs) on the co-infection dynamics. The positivity and boundedness of solutions is proven and the disease-free equilibrium as well as the endemic equilibrium points are computed. The stability of equilibrium points is also proven. The model exhibits three significant reproduction numbers, that is, the basic reproduction number, R0, the effective reproduction number, Rc and the immune response reproduction number, RK. The conditions for stability based on the reproduction numbers are stated and numerical simulations performed. The simulations established that although the adaptive immune response is effective in the reduction of HPV, it is not adequate, especially among HIV-positive women. Therefore, HPV vaccination before the onset of sexual activity or among HIV-infected women in addition to proper adherence to HIV treatment is beneficial in reducing HPV in-host.

Original languageEnglish
Article number79
JournalCommunications in Mathematical Biology and Neuroscience
Volume2023
DOIs
StatePublished - Aug 4 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Scopus Subject Areas

  • General Neuroscience
  • General Biochemistry, Genetics and Molecular Biology
  • Applied Mathematics

Keywords

  • cytotoxic T-Lymphocytes
  • human papillomavirus
  • immune response
  • vaccination

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