Sensitivity analysis for a delay mathematical model: the glucose-insulin model

We investigate glucose-insulin regulation through a delay differential equation model formulated in Sobolev spaces. A physiologically motivated time delay is incorporated into an advanced modeling framework that builds upon the classical ordinary differential equation based model proposed by Bergman and Cobelli. The resulting system is formulated within a semigroup-theoretical setting that ensures well-posedness. Sensitivity analysis based on Fréchet derivatives is employed to quantify parameter influence, while optimal design criteria derived from the Fisher Information Matrix are used to improve parameter estimation. The findings highlight the effectiveness of Sobolev-space and semigroup techniques in providing a rigorous and adaptable foundation for modeling delayed physiological processes.

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Publication Details

Journal
Frontiers in Applied Mathematics and Statistics
Published
2025-08-19
DOI
https://doi.org/10.3389/fams.2025.1562636
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Sensitivity analysis for a delay mathematical model: the glucose-insulin model

Mostafa Bachar
Frontiers in Applied Mathematics and Statistics
Diabetes Management and Research
article

Sensitivity analysis for a delay mathematical model: the glucose-insulin model

Mostafa Bachar
article en

Abstract

We investigate glucose-insulin regulation through a delay differential equation model formulated in Sobolev spaces. A physiologically motivated time delay is incorporated into an advanced modeling framework that builds upon the classical ordinary differential equation based model proposed by Bergman and Cobelli. The resulting system is formulated within a semigroup-theoretical setting that ensures well-posedness. Sensitivity analysis based on Fréchet derivatives is employed to quantify parameter influence, while optimal design criteria derived from the Fisher Information Matrix are used to improve parameter estimation. The findings highlight the effectiveness of Sobolev-space and semigroup techniques in providing a rigorous and adaptable foundation for modeling delayed physiological processes.

Frontiers in Applied Mathematics and StatisticsVol. 11
King Saud University (SA)
King Saud University
Openalex Percentile: Top 71%
Diabetes Management and Research
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