Estimates of Solutions for Integro‐Differential Equations in Epidemiological Modeling

ABSTRACT Integro‐differential equations (IDE) have been applied in a variety of areas of research, including epidemiology. Recently, IDE systems were applied to study dengue fever transmission dynamics at the population level. In this study, we extend the approach presented in a previous study for describing the epidemiological model of dengue fever. In this paper, we find the exact solutions of the corresponding linearized system model by constructing the Cauchy and Green's matrices. Furthermore, we extend our investigation towards estimating the solutions of a closely related nonlinear system. Given that the coefficients of the model are only known approximately, we address the problem of the stability of a system with uncertain coefficients. Furthermore, we estimate the influence of errors in the coefficient determination on solution behavior.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-03-27
DOI
https://doi.org/10.1002/mma.10900
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76
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article

Estimates of Solutions for Integro‐Differential Equations in Epidemiological Modeling

Irina Volinsky, Alexander Domoshnitsky, Vanessa Steindorf, Shai Biton
2 citations
Mathematical Methods in the Applied Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Estimates of Solutions for Integro‐Differential Equations in Epidemiological Modeling

Irina Volinsky, Alexander Domoshnitsky, Vanessa Steindorf, Shai Biton
article en
2 citations

Abstract

ABSTRACT Integro‐differential equations (IDE) have been applied in a variety of areas of research, including epidemiology. Recently, IDE systems were applied to study dengue fever transmission dynamics at the population level. In this study, we extend the approach presented in a previous study for describing the epidemiological model of dengue fever. In this paper, we find the exact solutions of the corresponding linearized system model by constructing the Cauchy and Green's matrices. Furthermore, we extend our investigation towards estimating the solutions of a closely related nonlinear system. Given that the coefficients of the model are only known approximately, we address the problem of the stability of a system with uncertain coefficients. Furthermore, we estimate the influence of errors in the coefficient determination on solution behavior.

Mathematical Methods in the Applied SciencesVol. 48(10)
Basque Center for Applied Mathematics (ES), Ariel University (IL)
Openalex Percentile: Top 8%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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