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Bivariate Stochastic Modelling of Glucose and Insulin Regulatory System among Type-2 Diabetes Mellitus Patients

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Abstract:

In this paper, a bivariate stochastic model for glucose and insulin regulatory system is developed. Difference Differential equations are derived from the processes of arrival and consumption of glucose molecules and insulin granules in blood plasma. Probability generating functions and linear differential equations are obtained, through which statistical measures on glucose and insulin levels are derived. Numerical illustrations are provided with suitable sensitivity analysis. Model behaviour is analyzed while using the derived measures. Indicators on health care and management of Type-2 Diabetes can be obtained with this study.

Info:

Periodical:
Bulletin of Mathematical Sciences and Applications (Volume 11)
Pages:
30-43
DOI:
https://doi.org/10.18052/www.scipress.com/BMSA.11.30
Citation:
K. K. Paidipati and T. R. Padi, "Bivariate Stochastic Modelling of Glucose and Insulin Regulatory System among Type-2 Diabetes Mellitus Patients", Bulletin of Mathematical Sciences and Applications, Vol. 11, pp. 30-43, 2015
Online since:
Feb 2015
Authors:
Kiran Kumar Paidipati, Tirupathi Rao Padi
Keywords:
Glucose-Insulin Regulatory System, Simultaneous Linear Differential Equations, Stochastic Model
Export:
RIS, BibTeX, Text
Distribution:
Open Access

Creative Commons License
This work is licensed under a
Creative Commons Attribution 4.0 International License

References:

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P. Tirupathi Rao (2012).

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