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

A 5.5 KB Excel file contains incremental cost-effectiveness ratio (ICER) results comparing seven control strategies for an HIV/AIDS transmission model. The model, created by Christopher Chukwuma Asogwa, includes compartments for Susceptible, Exposed, Treatment, Pre-AIDS, and AIDS populations. It was last updated on April 15, 2026, and uses Pontryagin’s maximum principle to identify the most cost-effective pre-contact and anti-retroviral therapy (ART) control measures.

Use Cases

• Compare the cost-effectiveness of different HIV/AIDS intervention strategies based on the model's ICER outputs.
• Validate or extend mathematical models of disease transmission that incorporate pre-contact prevention and ART.
• Inform public health resource allocation by identifying the most efficient control measures from the simulated strategies.

Strengths

• Model is based on a defined mathematical framework with six population compartments and a calculated reproduction number.
• The analysis identifies a specific optimal control strategy (pre-contact preventive measures) as most cost-effective.
• Data is openly licensed under CC-BY-4.0.

Limitations

• The dataset is very small (5.5 KB), suggesting limited scope, likely containing only summary results.
• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The geographic and temporal context of the modeled population is not specified.

Provenance

Source

Christopher Chukwuma Asogwa via figshare.

Collection Method

Results generated from a simulated mathematical model of HIV/AIDS transmission dynamics.

Freshness

Last updated 2026-04-15 17:52:38; freshness should be verified.