Version 1
: Received: 5 March 2024 / Approved: 5 March 2024 / Online: 5 March 2024 (13:53:22 CET)
How to cite:
Francesco, Z. Vertical Transmission and Treatment of HIV/AIDS Epidemic with Saturation Dynamics Modeling. Preprints2024, 2024030255. https://doi.org/10.20944/preprints202403.0255.v1
Francesco, Z. Vertical Transmission and Treatment of HIV/AIDS Epidemic with Saturation Dynamics Modeling. Preprints 2024, 2024030255. https://doi.org/10.20944/preprints202403.0255.v1
Francesco, Z. Vertical Transmission and Treatment of HIV/AIDS Epidemic with Saturation Dynamics Modeling. Preprints2024, 2024030255. https://doi.org/10.20944/preprints202403.0255.v1
APA Style
Francesco, Z. (2024). Vertical Transmission and Treatment of HIV/AIDS Epidemic with Saturation Dynamics Modeling. Preprints. https://doi.org/10.20944/preprints202403.0255.v1
Chicago/Turabian Style
Francesco, Z. 2024 "Vertical Transmission and Treatment of HIV/AIDS Epidemic with Saturation Dynamics Modeling" Preprints. https://doi.org/10.20944/preprints202403.0255.v1
Abstract
This study presents a dynamic modeling approach to investigate the impact of saturation dynamics on HIV/AIDS transmission in the presence of vertical transmission and treatment strategies. The proposed model incorporates disease-free and endemic equilibria, with a focus on analyzing the basic reproduction number and conducting stability analysis. Results indicate that the disease-free equilibrium is locally asymptotically stable under certain conditions. The findings suggest that a combination of treatment interventions and awareness campaigns, along with other control measures, may play a crucial role in curbing the spread of the HIV/AIDS virus. This research contributes to understanding the complex dynamics of HIV/AIDS epidemics and highlights the importance of considering saturation effects in epidemic modeling.
Keywords
Disease, Modelling, Mathematical Solution
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
