ArticleAdvances in difference equations2020
On the optimal control of coronavirus (2019-nCov) mathematical model; a numerical approach.
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 5 papers.
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5 citing papers in PubMed.
- Fractional spatiotemporal Hahnfeldt tumor model with convergence analysis and optimal control.Scientific reports · 2026Article
- Optimal strategies for managing Hepatitis B Virus (HBV) infection: a comprehensive approach through education, vaccination, and therapy.Scientific reports · 2025Article
- Nuclei discovered new practical insights via optimized soliton-like pulse analysis in a space fractional-time beta-derivatives equations.Scientific reports · 2025Article
- Assessing the role of quarantine and isolation as control strategies for COVID-19 outbreak: A case study.Chaos, solitons, and fractals · 2021Article
- An Emotion Care Model using Multimodal Textual Analysis on COVID-19.Chaos, solitons, and fractals · 2021Article
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4 authors.
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Abstract
In this paper, a novel coronavirus (2019-nCov) mathematical model with modified parameters is presented. This model consists of six nonlinear fractional order differential equations. Optimal control of the suggested model is the main objective of this work. Two control variables are presented in this model to minimize the population number of infected and asymptotically infected people. Necessary optimality conditions are derived. The Grünwald-Letnikov nonstandard weighted average finite difference method is constructed for simulating the proposed optimal control system. The stability of the proposed method is proved. In order to validate the theoretical results, numerical simulations and comparative studies are given.
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