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September 12, 2025PLoS ONEOpen Access

Simulating HIV transmission dynamics: An agent-based approach using NetLogo

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Authors

SASophia Nicolette C. AmasaTBTrisha Mae P. BeletaSMShemaiah L. Montilla

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Overview

This simulation explores HIV transmission dynamics in diverse subpopulations, indicating effective interventions.

Key Points

  • Simulating HIV dynamics using an improved agent-based model successfully predicts infection trends over ten years.
  • The model achieved a mean absolute error of 3.5 and mean squared error of 14.9, aligning closely with national data.
  • Key factors like consistent condom use and high testing frequency significantly lower HIV transmission rates.
  • Findings highlight the model's ability to illustrate relationships between diverse parameters influencing HIV dynamics.

Cite This Study

Amasa et al. (2025) studied this question.

synapsesocial.com/papers/68d44a3031b076d99fa530fbhttps://doi.org/10.1371/journal.pone.0330456
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  5. 5Understanding HIV/AIDS dynamics: insights from CD4+T cells, antiretroviral treatment, and country-specific analysis2024 · 11 citations