ArticleAdvances in difference equations2020
Design of nonstandard computational method for stochastic susceptible-infected-treated-recovered dynamics of coronavirus model.
Article in Advances in difference equations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- An analysis of a nonlinear susceptible-exposed-infected-quarantine-recovered pandemic model of a novel coronavirus with delay effect.Results in physics · 2021Article
- Modeling the transmission dynamics of delayed pneumonia-like diseases with a sensitivity of parameters.Advances in difference equations · 2021Article
- Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making.Complex & intelligent systems · 2021Article
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6 authors.
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Abstract
The current effort is devoted to investigating and exploring the stochastic nonlinear mathematical pandemic model to describe the dynamics of the novel coronavirus. The model adopts the form of a nonlinear stochastic susceptible-infected-treated-recovered system, and we investigate the stochastic reproduction dynamics, both analytically and numerically. We applied different standard and nonstandard computational numerical methods for the solution of the stochastic system. The design of a nonstandard computation method for the stochastic system is innovative. Unfortunately, standard computation numerical methods are time-dependent and violate the structure properties of models, such as positivity, boundedness, and dynamical consistency of the stochastic system. To that end, convergence analysis of nonstandard computational methods and simulation with a comparison of standard computational methods are presented.
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