ICER Comparison of HIV/AIDS Control Strategies from Mathematical Model
by Christopher Chukwuma Asogwa·Updated 2mo ago
5.5 KB1files
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Description
A 5.5 KB Excel file by Christopher Chukwuma Asogwa, last updated in April 2026, presents an Incremental Cost-Effectiveness Ratio (ICER) comparison for seven HIV/AIDS control strategies derived from a mathematical model. The model simulates population dynamics across six compartments, including Susceptible, Exposed, and AIDS, to evaluate the cost-effectiveness of interventions like Pre-contact Prevention and Anti-retroviral Therapy (ART). Results were simulated using MATLAB, identifying the most cost-effective single and combined control measures.
Use Cases
Compare the cost-effectiveness of seven different HIV/AIDS intervention strategies based on the model's ICER outputs.
Validate optimal control theory applications in epidemiology using the Pontryagin's maximum principle framework described.
Simulate the impact of Pre-contact Preventive and ART controls on population compartments like 'Under-3-day Exposed' and 'Pre-AIDS'.
Analyze the stability of disease-free and endemic equilibrium points in relation to the effective reproduction number (R).
Strengths
Model is based on a defined six-compartment structure (Susceptible, Exposed-Uninfected, Treatment, etc.) for HIV/AIDS transmission.
Analysis includes seven distinct control strategies and identifies the most cost-effective single and combined measures.
Dataset is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
Limitations
Dataset is very small at 5.5 KB, indicating limited scope, likely containing summary results rather than raw simulation data.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for statistical modeling.
Provenance
Source
Christopher Chukwuma Asogwa via figshare.
Collection Method
Outputs from a mathematical model of HIV/AIDS transmission dynamics, with simulations performed in MATLAB.
Freshness
Last updated 2026-04-15 17:52:37; freshness should be verified.
Data is in XLS (Excel) format; users will need compatible software to open it.