Discussing the epidemiology of COVID-19 model with the effective numerical scheme.

Publication date: Jul 17, 2025

COVID-19 is a contagion that’s container lead to lung difficulties such as pneumonia and, in the greatest severe circumstances, serious respirational disease. In response to these challenges, the present research proposes and analyses an SEIQR model with a nonlinear recovery and incidence rate. The appearance aimed at fundamental threshold quantity [Formula: see text] is established, which is critical to the stability of disease-free and endemic equilibria. A non-standard Finite difference (NSFD) Scheme is developed and for the model, and the denominator function is select so that the proposed structure maintains solution boundedness. It is demonstrated that the NSFD scheme is not dependent on the step size produces superior outcomes in totally admirations. The Jacobian approach is employed to establish the local stability of the disease free equilibrium, while Schur-Cohn conditions are used for the endemic equilibrium point in the the discrete NSFD scheme. The Enastu Criterion and the Lyapunov Function are used to demonstrate the global stability of the disease free and endemic equilibria. Numerical simulation are also presented to discuss the benefits of the NSFD scheme and to validate the theoretical conclusions. Calculated simulations show that the NSFD method preserves the important aspects of the continuous model. As a result, they generate estimates that align consistently with the model’s solutions.

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Concepts Keywords
Benefits Computer Simulation
Covid COVID-19
Epidemiology Epidemiological Models
Pneumonia Humans
Severe Incidence
Incidence rate
Lyapunov function
Numerical simulations
SARS-CoV-2

Semantics

Type Source Name
disease MESH COVID-19
disease MESH pneumonia
disease MESH severe acute respiratory syndrome
disease MESH infection
disease MESH malignancy
disease IDO production
disease MESH lymphopenia
drug DRUGBANK Coenzyme M
disease MESH virus disease
pathway REACTOME Reproduction
drug DRUGBANK Methionine
disease MESH death
disease MESH agammaglobulinemia
disease MESH Allergy
disease MESH influenza
drug DRUGBANK Silver
disease MESH coronavirus infection
disease MESH AIDS
disease MESH co infection
disease IDO intervention
drug DRUGBANK BCG vaccine
disease MESH malaria
pathway KEGG Malaria
disease MESH typhoid fever
disease MESH hepatitis
disease MESH chronic hepatitis
disease IDO process

Original Article

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