ICER Comparison of HIV/AIDS Control Strategies from a Mathematical Model

A mathematical model on HIV/AIDS transmission dynamics incorporates post-contact control measures across six compartments: Susceptible, under-3-day Exposed, Exposed-Uninfected, Treatment, Pre-AIDS, and AIDS. The dataset, created by Christopher Chukwuma Asogwa and last updated in April 2026, contains results from simulating seven control strategies, including Pre-contact Preventive and Anti-retroviral therapy (ART), to identify the most cost-effective measures. The 5.5 KB Excel file likely contains incremental cost-effectiveness ratio (ICER) comparisons and population dynamics outputs from MATLAB simulations.

Use Cases

• Compare cost-effectiveness of single and double HIV control strategies based on the ICER metric described.
• Analyze population dynamics across model compartments (e.g., Susceptible, Treatment, AIDS) under different control measures.
• Validate mathematical models of disease transmission that incorporate pre-contact prevention and ART.
• Simulate the impact of optimal control measures on reducing the effective reproduction number.

Strengths

• Model is based on a defined six-compartment structure for HIV/AIDS transmission.
• Analysis includes seven distinct control strategies for comparison.
• Results are derived from applying Pontryagin’s maximum principle for optimal control.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The geographic scope of the modeled population is not specified.

Provenance

Source

Christopher Chukwuma Asogwa via figshare

Collection Method

Output from a mathematical model simulated with MATLAB.

Freshness

Last updated 2026-04-15 17:52:37; freshness should be verified.