Epidemiological Characteristics of Generalized COVID-19 Deterministic Disease Model

Coronavirus disease 2019 (COVID-19) is an infection that can result in lung issues such as pneumonia and, extreme situations, the most severe acute respiratory syndrome. COVID-19 widely investigated by researchers through mathematical models from different aspects. Inspired literature, present paper, generalized deterministic model considered and examined. The basic reproduction number obtained which a key factor defining nonlinear dynamics of biological physical obstacles study disease. To better comprehend dynamical behavior continuous model, two unconditionally stable schemes, i.e., mixed Euler nonstandard finite difference (NSFD) schemes are developed for model. For discrete NSFD scheme, boundedness positivity solutions discussed detail. local stability disease-free endemic equilibria demonstrated constructing Jacobian matrices scheme; nevertheless, global aforementioned verified using Lyapunov functions. Numerical simulations also presented demonstrate how both effective suitable solving Consequently, outcomes these completely according to