Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak

•Investigation of a mathematical model of the novel coronavirus•Pioneer research on policies regarding COVID-19•A multi-objective genetic algorithm which proposes strategies to achieve high-quality schedules by adjusting various factors•The first research that proposes policies for COVID-19 by consi...

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Vydané v:Chaos, solitons and fractals Ročník 136; s. 109883
Hlavní autori: Yousefpour, Amin, Jahanshahi, Hadi, Bekiros, Stelios
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Elsevier Ltd 01.07.2020
Predmet:
Mathematical modeling
Multi-objective genetic algorithm
Novel coronavirus
Optimal control
Multi-objective genetic algorithm
Mathematical modeling
Novel coronavirus
Optimal control
ISSN:0960-0779, 1873-2887, 0960-0779
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Shrnutí:•Investigation of a mathematical model of the novel coronavirus•Pioneer research on policies regarding COVID-19•A multi-objective genetic algorithm which proposes strategies to achieve high-quality schedules by adjusting various factors•The first research that proposes policies for COVID-19 by considering its economic consequences 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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ISSN:0960-0779
1873-2887
0960-0779
DOI:10.1016/j.chaos.2020.109883