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Global stability of COVID-19 model involving the quarantine strategy and media coverage effects

  • Received: 02 June 2020 Accepted: 29 July 2020 Published: 03 August 2020
  • In this paper, we build and analyze a mathematical model of COVID-19 transmission considering media coverage effects. Due to transmission characteristics of COVID-19, we can divided the population into five classes. The first class describes the susceptible individuals, the second class is exposed individuals, the third class is infected individuals, the fourth class is quarantine class and the last class is recovered individuals. The existence, uniqueness and boundedness of the solutions of the model are discussed. The basic reproduction number 0 is obtained. All possible equilibrium points of the model are investigated and their local stability is discussed under some conditions. The disease-free equilibrium is local asymptotically stable when 0<1 and unstable when 0>1. The globally asymptotical stability of all point is verified by Lyapunov function. Finally, numerical simulations are carried out to confirm the analytical results and understand the effect of varying the parameters on spread of COVID-19. These findings suggested that media coverage can be considered as an effective way to mitigate the COVID-19 spreading.

    Citation: Ahmed A Mohsen, Hassan Fadhil AL-Husseiny, Xueyong Zhou, Khalid Hattaf. Global stability of COVID-19 model involving the quarantine strategy and media coverage effects[J]. AIMS Public Health, 2020, 7(3): 587-605. doi: 10.3934/publichealth.2020047

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  • In this paper, we build and analyze a mathematical model of COVID-19 transmission considering media coverage effects. Due to transmission characteristics of COVID-19, we can divided the population into five classes. The first class describes the susceptible individuals, the second class is exposed individuals, the third class is infected individuals, the fourth class is quarantine class and the last class is recovered individuals. The existence, uniqueness and boundedness of the solutions of the model are discussed. The basic reproduction number 0 is obtained. All possible equilibrium points of the model are investigated and their local stability is discussed under some conditions. The disease-free equilibrium is local asymptotically stable when 0<1 and unstable when 0>1. The globally asymptotical stability of all point is verified by Lyapunov function. Finally, numerical simulations are carried out to confirm the analytical results and understand the effect of varying the parameters on spread of COVID-19. These findings suggested that media coverage can be considered as an effective way to mitigate the COVID-19 spreading.


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    Acknowledgments



    The authors thankful to acknowledge the reviewers for their valuable suggestions and comments. Which have contributed to the improvement of the authors work.

    Conflict of interest



    The authors declare no conflicts of interest.

    [1] Organization WH (2020)  Coronavirus disease (COVID-2019) Situation reports. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/; 2020d.
    [2] Shi P, Cao S, Feng P (2020) SEIR transmission dynamics model of 2019 nCov coronavirus with considering the weak infectious ability and changes in latency duration. medRxiv [preprint]. Available from https://doi.org/10.1101/2020.02.16.20023655.
    [3] Li Q, Med M, Guan X, et al. (2020) Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. New Engl J Med .
    [4] Liu T, Hu J, Kang M, et al. (2020) transmission dynamics of 2019 novel coronavirus (2019-nCov). BioRxiv .
    [5] Riou J, Althaus CL (2020) Pattern of early human to human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020. Eurosurveillance 25. doi: 10.2807/1560-7917.ES.2020.25.4.2000058
    [6] Hellewell J, Abbott S, Gimma A, et al. (2020) Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts. medRxiv .
    [7] Chen T, Rui J, Wang Q, et al. (2020) A mathematical model for simulation the phase-based transmissibility of novel coronavirus. Infect Dis Poverty 9: 24. doi: 10.1186/s40249-020-00640-3
    [8] Bentout S, Chekroun A, Kuniya T (2020) Parameter estimation and prediction for corona virus disease outbreak 2019 (COVID-19) in Algeria. AIMS Public Health 7: 306-318. doi: 10.3934/publichealth.2020026
    [9] Belgaid Y, Helal M, Venturino E (2020) Analysis of a Model for Corona virus spread, MDPI. Math J 8: 820. doi: 10.3390/math8050820
    [10] Owolabi KM, Mishra AM, Purohit SD, et al. (2020) A nonlinear epidemiological model considering asymptotic and quarantine classes for SARS CoV-2 virus. Chaos, Solitons Fractals 138.
    [11] Flaxman S, Mishra S, Gandy A, et al.Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. nature. Available from: https://doi.org/10.1038/s41586-020-2405-7.
    [12] Kennedy DM, Zambrano GJ, Wang Y, et al. (2020) Modeling the effects of intervention strategies on COVID-19 transmission dynamics. J Clin Virol 128: 104440. doi: 10.1016/j.jcv.2020.104440
    [13] Feng L, Jing S, Hu S, et al. (2020) Modelling the effects of media coverage and quarantine on the COVID-19 infections in the UK. Math Biosci Eng 17: 3618-3636. doi: 10.3934/mbe.2020204
    [14] Driessche PVD, Watmough J (2002) Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math Biosci 180: 29-48. doi: 10.1016/S0025-5564(02)00108-6
    [15] Hethcote HW (2000) The mathematics of infectious diseases. SIAM Rev 42: 599-653. doi: 10.1137/S0036144500371907
    [16] Hadeler KP, Driessche PVD (1997) Backward bifurcation in epidemic control. Math Bioences 146: 15.
    [17] Castillo-Chavez C, Song B (2004) Dynamical models of tuberculosis and their applications. Math Biosci Eng 1: 361-404. doi: 10.3934/mbe.2004.1.361
    [18] LaSalle JP (1976)  The stability of dynamical systems Philadelphia, Pa: Society for Industrial and Applied Mathematics.
    [19]  Iraq Population. Available from: https://www.worldometers.info/world-population/iraq-population/.
    [20]  National Health Commission of Iraq daily reports on novel corona virus (in Iraq). Available from: http://www.emro.who.int/irq/iraq-news/.
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