Mathematical analysis of fractional Chlamydia pandemic model

In this study, we developed a Caputo-Fractional Chlamydia pandemic model to describe the disease's spread. We demonstrated the model's positivity and boundedness, ensuring biological relevance. The existence and uniqueness of the model's solution were established, and we investigated the stability of the α-fractional order model. Our analysis proved that the disease-free equilibrium point is locally asymptotically stable. Additionally, we showed that the model has a single endemic equilibrium point, which is globally asymptotically stable when [Formula: see text] exceeds 1. Using Latin Hypercube sampling and partial rank correlation coefficients (PRCCs), sensitivity analysis identified key parameters influencing [Formula: see text]. Numerical simulations further illustrated the impact of parameter variations on disease dynamics.

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Publication Details

Journal
Scientific Reports
Published
2024-12-28
DOI
https://doi.org/10.1038/s41598-024-82428-1
Citations
7
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
2.77

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article

Mathematical analysis of fractional Chlamydia pandemic model

Mo’tassem Al-arydah, Mahmoud H. DarAssi, Mohammad A. Safi, Bashir Al‐Hdaibat et al.
7 citations
Scientific Reports
Fractional Differential Equations Solutions
2.77
article

Mathematical analysis of fractional Chlamydia pandemic model

Mo’tassem Al-arydah, Mahmoud H. DarAssi, Mohammad A. Safi, Bashir Al‐Hdaibat, Zuhur Alqahtani, Yousef AbuHour, Areej Almuneef
article en
7 citations

Abstract

In this study, we developed a Caputo-Fractional Chlamydia pandemic model to describe the disease's spread. We demonstrated the model's positivity and boundedness, ensuring biological relevance. The existence and uniqueness of the model's solution were established, and we investigated the stability of the α-fractional order model. Our analysis proved that the disease-free equilibrium point is locally asymptotically stable. Additionally, we showed that the model has a single endemic equilibrium point, which is globally asymptotically stable when [Formula: see text] exceeds 1. Using Latin Hypercube sampling and partial rank correlation coefficients (PRCCs), sensitivity analysis identified key parameters influencing [Formula: see text]. Numerical simulations further illustrated the impact of parameter variations on disease dynamics.

Scientific ReportsVol. 14(1)
Princess Nourah bint Abdulrahman University (SA), Hashemite University (JO), Princess Sumaya University for Technology (JO), Khalifa University of Science and Technology (AE)
Princess Nourah Bint Abdulrahman University
Good health and well-being
Openalex Percentile: Top 9%
Fractional Differential Equations Solutions
2.77
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