Mathematical Modeling of Diabetes And Hypertension Co-Infection.

Lifestyle diseases have currently become rampant and take toll of the population due to lack of absolute treatment strategy, thus the biggest burden is on the control, which requires substantial financial resources in the care and treatment of infected patients. Diabetes and hypertension are among the common autoimmune diseases commonly occurring in patients, escalating the total effect on the infected and affected individuals. In this study, a mathematical model was formulated and analyzed to describe the disease dynamics, and determine the threshold values of significant parameters for optimal control strategy. The formulated model was tested for its positivity, stability and robustness and sensitivity of parameters evaluated. It was found that the model will guide the lifestyles desired to control the occurrence of the disease, thus improving the health living of the population and reduce the financial burden of treatment and care of patients.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17131602
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Mathematical Modeling of Diabetes And Hypertension Co-Infection.

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Mathematical Modeling of Diabetes And Hypertension Co-Infection.

article en

Abstract

Lifestyle diseases have currently become rampant and take toll of the population due to lack of absolute treatment strategy, thus the biggest burden is on the control, which requires substantial financial resources in the care and treatment of infected patients. Diabetes and hypertension are among the common autoimmune diseases commonly occurring in patients, escalating the total effect on the infected and affected individuals. In this study, a mathematical model was formulated and analyzed to describe the disease dynamics, and determine the threshold values of significant parameters for optimal control strategy. The formulated model was tested for its positivity, stability and robustness and sensitivity of parameters evaluated. It was found that the model will guide the lifestyles desired to control the occurrence of the disease, thus improving the health living of the population and reduce the financial burden of treatment and care of patients.

Zenodo (CERN European Organization for Nuclear Research)
University of Eldoret (KE)
No poverty
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
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