Modelling Botswana's HIV/AIDS response and treatment policy changes: Insights from a cascade of mathematical models

Tefa Kaisara, Farai Nyabadza

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The management of HIV/AIDS has evolved ever since advent of the disease in the past three decades. Many countries have had to revise their policies as new information on the virus, and its transmission dynamics emerged. In this paper, we track the changes in Botswana's HIV/AIDS response and treatment policies using a piece-wise system of differential equations. The policy changes are easily tracked in three epochs. Models for each era are formulated from a “grand model” that can be linked to all the epochs. The grand model's steady states are determined and analysed in terms of the model reproduction number, R0. The model exhibits a backward bifurcation, where a stable disease-free equilibrium coexists with a stable endemic equilibrium when R0 < 1. The stability of the models for the other epochs can be derived from that of the grand model by setting some parameters to zero. The models are fitted to HIV/AIDS prevalence data from Botswana for the past three decades. The changes in the populations in each compartment are tracked as the response to the disease and treatment policy changed over time. Finally, projections are made to determine the possible trajectory of HIV/AIDS in Botswana. The implications of the policy changes are easily seen, and a discussion on how these changes impacted the epidemic are articulated. The results presented have crucial impact on how policy changes affected and continue to influence the trajectory of the HIV/AIDS epidemic in Botswana.

Original languageEnglish
Pages (from-to)1122-1147
Number of pages26
JournalMathematical Biosciences and Engineering
Volume20
Issue number1
DOIs
Publication statusPublished - 2023

Keywords

  • Grand model
  • HIV/AIDS
  • fitting
  • reproduction number
  • simulations
  • treatment policy

ASJC Scopus subject areas

  • Modeling and Simulation
  • General Agricultural and Biological Sciences
  • Computational Mathematics
  • Applied Mathematics

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