Mathematical Modeling of Middle East Respiratory Syndrome Coronavirus with Bifurcation Analysis

The Middle East respiratory syndrome is a viral respiratory illness. It is caused by a common type of virus called coronavirus. The main objective of the present work, we develop a mathematical model for the transmission dynamics of the Middle East respiratory syndrome coronavirus (MERS-CoV) disease. To assess the transmissibility of the MERS-CoV, we calculate the basic reproduction number R0. Furthermore, the existence of the backward bifurcation for different parameters is presented. The sensitivity analysis is presented to analyze the importance of various epidemic parameters. Stability analysis for the model is examined to provide stability conditions. Finally, we present the numerical simulations of the proposed model to support our analytical findings.

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Publication Details

Journal
Contemporary Mathematics
Published
2024-09-20
DOI
https://doi.org/10.37256/cm.5320245004
Citations
8
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
3.16
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article

Mathematical Modeling of Middle East Respiratory Syndrome Coronavirus with Bifurcation Analysis

Mati ur Rahman, Mustafa Yıldız, Hardik Joshi, Mehmet Sunay Yavuz
8 citations
Contemporary Mathematics
COVID-19 epidemiological studies
3.16
article

Mathematical Modeling of Middle East Respiratory Syndrome Coronavirus with Bifurcation Analysis

Mati ur Rahman, Mustafa Yıldız, Hardik Joshi, Mehmet Sunay Yavuz
article en
8 citations

Abstract

The Middle East respiratory syndrome is a viral respiratory illness. It is caused by a common type of virus called coronavirus. The main objective of the present work, we develop a mathematical model for the transmission dynamics of the Middle East respiratory syndrome coronavirus (MERS-CoV) disease. To assess the transmissibility of the MERS-CoV, we calculate the basic reproduction number R0. Furthermore, the existence of the backward bifurcation for different parameters is presented. The sensitivity analysis is presented to analyze the importance of various epidemic parameters. Stability analysis for the model is examined to provide stability conditions. Finally, we present the numerical simulations of the proposed model to support our analytical findings.

Contemporary Mathematics
Jiangsu University (CN), Usak University (TR), Necmettin Erbakan University (TR)
Openalex Percentile: Top 8%
COVID-19 epidemiological studies
3.16
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Mathematical Modeling of Middle East Respiratory Syndrome Coronavirus with Bifurcation Analysis — Mati ur Rahman, Mustafa Yıldız, et al. · Contemporary Mathematics (2024) | TGRS Research Map | TGRS