Nonlinear Epidemic Model With Media Coverage: Stability, Bifurcation, and Control in a Population With Pre‐Existing Immunity

This paper proposes a deterministic nonlinear epidemic model, , incorporating media coverage for the analysis of infectious disease transmission dynamics, considering quarantine and isolation control strategies in a community with pre‐existing immunity, and taking into account both asymptomatic and symptomatic infections. The model examines two equilibria: the disease‐free equilibrium and a unique endemic equilibrium, investigating their existence and local stability concerning the effective reproduction number, R e . In addition, global stability analysis of these equilibria is conducted. Media coverage is found to have no effect on R e but plays a crucial role in mitigating the disease burden by reducing the number of infectious individuals at the endemic steady state and decreasing the infection peak. A new method is introduced to estimate the coefficients of media coverage. Based on the findings of central manifold theory, it is observed that when R e exceeds unity, a transcritical bifurcation takes place in the system, leading to the asymptotic stability of the endemic equilibrium. Moreover, it is noted that the effectiveness of quarantine and isolation at the population level depends on the transmission rate among isolated and quarantined individuals, while higher pre‐existing immunity in the population reduces the infection peak and hastens its occurrence. Theoretical results are validated through simulations, and sensitivity analysis is conducted for the effectiveness of R e with respect to model parameters.

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Publication Details

Journal
Complexity
Published
2025-01-01
DOI
https://doi.org/10.1155/cplx/1572080
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76
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article

Nonlinear Epidemic Model With Media Coverage: Stability, Bifurcation, and Control in a Population With Pre‐Existing Immunity

Nigar Ali, Md. Haider Ali Biswas, Mohammad Idrees, Ihtisham Ul Haq et al.
2 citations
Complexity
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Nonlinear Epidemic Model With Media Coverage: Stability, Bifurcation, and Control in a Population With Pre‐Existing Immunity

Nigar Ali, Md. Haider Ali Biswas, Mohammad Idrees, Ihtisham Ul Haq, Imtiaz Ahmad, M. Daher Albalwi
article en
2 citations

Abstract

This paper proposes a deterministic nonlinear epidemic model, , incorporating media coverage for the analysis of infectious disease transmission dynamics, considering quarantine and isolation control strategies in a community with pre‐existing immunity, and taking into account both asymptomatic and symptomatic infections. The model examines two equilibria: the disease‐free equilibrium and a unique endemic equilibrium, investigating their existence and local stability concerning the effective reproduction number, R e . In addition, global stability analysis of these equilibria is conducted. Media coverage is found to have no effect on R e but plays a crucial role in mitigating the disease burden by reducing the number of infectious individuals at the endemic steady state and decreasing the infection peak. A new method is introduced to estimate the coefficients of media coverage. Based on the findings of central manifold theory, it is observed that when R e exceeds unity, a transcritical bifurcation takes place in the system, leading to the asymptotic stability of the endemic equilibrium. Moreover, it is noted that the effectiveness of quarantine and isolation at the population level depends on the transmission rate among isolated and quarantined individuals, while higher pre‐existing immunity in the population reduces the infection peak and hastens its occurrence. Theoretical results are validated through simulations, and sensitivity analysis is conducted for the effectiveness of R e with respect to model parameters.

ComplexityVol. 2025(1)
Khulna University (BD), Royal Commission for Jubail and Yanbu (SA), University of Malakand (PK)
Openalex Percentile: Top 8%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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