ArticleChaos, solitons, and fractals2020
Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Mathematical analysis of Mycoplasma Genitalium transmission dynamics: A compartmental model with nonlinear interactions and treatment effects.PLOS global public health · 2026Article
- Modelling COVID-19 pandemic towards comparison of Omicron and Delta variants in Nigeria: development of predictive tools for forecasting and projection.BMC infectious diseases · 2025Article
- Modeling COVID-19 transmission: effects of age structure and vaccination.Scientific reports · 2025Article
- Balancing health and socioeconomic impacts: A uniform framework for evaluating non-pharmaceutical interventions.PloS one · 2025Article
- Is it Curbing-spread of SARS-CoV-2 Variants by Considering Non-linear Predictive Control?Biomedical engineering and computational biology · 2025Article
- Impact assessment of self-medication on COVID-19 prevalence in Gauteng, South Africa, using an age-structured disease transmission modelling framework.BMC public health · 2024Article
- Leveraging an epidemic-economic mathematical model to assess human responses to COVID-19 policies and disease progression.Scientific reports · 2023Article
- Expanding growers' choice of plant disease management options can promote suboptimal social outcomes.Plant pathology · 2023Article
- The relationship between controllability, optimal testing resource allocation, and incubation-latent period mismatch as revealed by COVID-19.Infectious Disease Modelling · 2023Article
- A Markovian model for the spread of the SARS-CoV-2 virus.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2023Article
- Third wave of COVID-19: mathematical model with optimal control strategy for reducing the disease burden in Nigeria.International journal of dynamics and control · 2023Article
- Numerical analysis of fractional coronavirus model with Atangana-Baleanu derivative in Liouville-Caputo sense.Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004) · 2023Article
- Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence.Frontiers in public health · 2023Article
- Dynamics of a fractional order mathematical model for COVID-19 epidemic transmission.Physica A · 2023Article
- Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms.Journal of biomedical physics & engineering · 2022Article
- Optimal control and cost-effectiveness analysis for a COVID-19 model with individual protection awareness.Physica A · 2022Article
- An extended state observer based U-model control of the COVID-19.ISA transactions · 2022Article
- COVID-19 and Chikungunya: an optimal control model with consideration of social and environmental factors.Journal of ambient intelligence and humanized computing · 2022Article
- Effect of an antiviral drug control and its variable order fractional network in host COVID-19 kinetics.The European physical journal. Special topics · 2022Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
Understanding the early transmission dynamics of diseases and estimating the effectiveness of control policies play inevitable roles in the prevention of epidemic diseases. To this end, this paper is concerned with the design of optimal control strategies for the novel coronavirus disease (COVID-19). A mathematical model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission based on Wuhan's data is considered. To solve the problem effectively and efficiently, a multi-objective genetic algorithm is proposed to achieve high-quality schedules for various factors including contact rate and transition rate of symptomatic infected individuals to the quarantined infected class. By changing these factors, two optimal policies are successfully designed. This study has two main scientific contributions that are: (1) This is pioneer research that proposes policies regarding COVID-19, (2) This is also the first research that addresses COVID-19 and considers its economic consequences through a multi-objective evolutionary algorithm. Numerical simulations conspicuously demonstrate that by applying the proposed optimal policies, governments could find useful and practical ways for control of the disease.
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