Abstract
We introduce a model for HIV/AIDS which can be utilized to assess the impact of combining pre-exposure prophylaxis (PrEP) and antiretroviral drugs (ARVs) use interventions (incorporating drug resistance). Mathematical and numerical analyses are carried out to investigate the effects of the combined controls in the presence of PrEP drug resistance. Our results predict a significant decrease in the number of new HIV infections when PrEP and ARVs are concurrently implemented at high levels. The results also reveal that PrEP drug resistance has the potential to slow down or reverse the effects of PrEP, especially at low efficacy levels.
| Original language | English |
|---|---|
| Pages (from-to) | 92-101 |
| Number of pages | 10 |
| Journal | Mathematical Biosciences |
| Volume | 285 |
| DOIs | |
| Publication status | Published - 1 Mar 2017 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being -
SDG 5 Gender Equality
Keywords
- Prep awareness
- Prep drug resistance
- Prep efficacy
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- General Biochemistry,Genetics and Molecular Biology
- General Immunology and Microbiology
- General Agricultural and Biological Sciences
- Applied Mathematics
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