Mathematical Analysis of a Generalized Fractional-Order Disease Model with Adaptive Immune Response

Pallavi Thakur; K. Srivastava; S. K. Srivastava

doi:10.64643/ijirtv13i1-204064-459

June 2, 2026International Journal of Innovative Research in TechnologyOpen Access

Mathematical Analysis of a Generalized Fractional-Order Disease Model with Adaptive Immune Response

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Key Points

The study aims to analyze a generalized fractional-order disease model including adaptive immune responses.
Developed a mathematical framework for the fractional-order disease model.
Evaluated the stability and dynamics of the model through analytical techniques.
Assessed the effects of adaptive immune response on disease progression.
Model predicts improved disease control with robust immune responses.
Demonstrated stability conditions that affect disease outcomes.
Identified critical parameters that influence long-term disease dynamics.

Implication

Mathematical analysis evaluates disease dynamics in biological systems, indicating immune response impacts.

Abstract

Explore the article titled Mathematical Analysis of a Generalized Fractional-Order Disease Model with Adaptive Immune Response from IJIRT Volume 13, Issue 1. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Thakur et al. (2026) studied this question.

synapsesocial.com/papers/6a211763d499ed480b1703b3 https://doi.org/10.64643/ijirtv13i1-204064-459

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Mathematical Analysis of a Generalized Fractional-Order Disease Model with Adaptive Immune Response

Key Points

Implication

Abstract

Discussion

Cite This Study

Mathematical Analysis of a Generalized Fractional-Order Disease Model with Adaptive Immune Response

Key Points

Implication

Abstract

Discussion

Cite This Study

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