Research article

Global dynamics of alcoholism epidemic model with distributed delays

  • Received: 26 June 2021 Accepted: 11 August 2021 Published: 22 September 2021
  • This paper aims to investigate the global dynamics of an alcoholism epidemic model with distributed delays. The main feature of this model is that it includes the effect of the social pressure as a factor of drinking. As a result, our global stability is obtained without a "basic reproduction number" nor threshold condition. Hence, we prove that the alcohol addiction will be always uniformly persistent in the population. This means that the investigated model has only one positive equilibrium, and it is globally asymptotically stable independent on the model parameters. This result is shown by proving that the unique equilibrium is locally stable, and the global attraction is shown using Lyapunov direct method.

    Citation: Salih Djillali, Soufiane Bentout, Tarik Mohammed Touaoula, Abdessamad Tridane. Global dynamics of alcoholism epidemic model with distributed delays[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 8245-8256. doi: 10.3934/mbe.2021409

    Related Papers:

  • This paper aims to investigate the global dynamics of an alcoholism epidemic model with distributed delays. The main feature of this model is that it includes the effect of the social pressure as a factor of drinking. As a result, our global stability is obtained without a "basic reproduction number" nor threshold condition. Hence, we prove that the alcohol addiction will be always uniformly persistent in the population. This means that the investigated model has only one positive equilibrium, and it is globally asymptotically stable independent on the model parameters. This result is shown by proving that the unique equilibrium is locally stable, and the global attraction is shown using Lyapunov direct method.



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    [1] Global status report on alcohol and health 2018, World Health Organization, 2019. Available from: https://www.who.int/publications/i/item/9789241565639.
    [2] M. J. Dubey, R. Ghosh, S. Chatterjee, P. Biswas, S. Dubey, COVID-19 and addiction, Diab. Metab.c Syndr. Clin. Res. Rev., 14 (2020), 817–823.
    [3] J. Liu, T. Zhang, TGlobal behaviour of a heroin epidemic model with distributed delays, Appl. Math. Letters, 24 (2011), 1685–1692. doi: 10.1016/j.aml.2011.04.019
    [4] G. Huang, A. Liu, A note on global stability for a heroin epidemic model with distributed delay, Appl. Math. Letters, 26 (2011), 1685–1692.
    [5] S. Bentout, S. Djilali, B. Ghanbari, Backward, Hopf bifurcation in a heroin epidemic model with treat age, Int. J. Model. Simul. Sci. Comput., 12 (2021), 2150018. doi: 10.1142/S1793962321500185
    [6] O. Sharomi, A. B. Gumel, Curtailing smoking dynamics: a mathematical modeling approach, Appl. Math. Comput., 195 (2008), 475–499.
    [7] S. H. Ma, H. F. Huo, H. Xiang, S. L. Jing, Global dynamics of a delayed alcoholism model with the effect of health education, Math. Biosci. Eng., 18 (2021), 904–932. doi: 10.3934/mbe.2021048
    [8] Z. K. Guo, H. F. Huo, H. Xiang, Bifurcation analysis of an age-structured alcoholism model, J. Biol. Dynam., 12 (2018), 987–1011. doi: 10.1080/17513758.2018.1535668
    [9] A. Chekroun, M. N. Frioui, T. Kuniya, T. M. Touaoula, Mathematical analysis of an age structured heroin-cocaine epidemic model, Discrete Cont. Dynam. Systems-B, 25 (2020), 4449.
    [10] G. Mulone, B. Straughan, Modeling binge drinking, Int. J. Biomath., 5 (2012), 1250005. doi: 10.1142/S1793524511001453
    [11] T. Caraballo, M. El Fatini, M. El Khalifi, R. Gerlach, R. Pettersson, Analysis of a stochastic distributed delay epidemic model with relapse and gamma distribution kernel, Chaos Solit. Fract., 13 (2020), 109643.
    [12] D. Ouchenane, A. Choucha, M. Abdalla, S. M. Boulaaras, B. B. Cherif, On the porous-elastic system with thermoelasticity of type III and distributed delay: Well-posedness and stability, J. Funct. Spaces, (2020).
    [13] W. Ghecham, S. E. Rebiai, F. Z. Sidiali, Stabilization of coupled wave equations with boundary or internal distributed delay, Appl. Anal., (2020), 1–20.
    [14] S. Djilali, S. Bentout, Global dynamics of SVIR epidemic model with distributed delay and imperfect vaccine, Results Phys., 25 (2021), 104245. doi: 10.1016/j.rinp.2021.104245
    [15] A. Elazzouzi, A. L. Alaoui, M. Tilioua, A. Tridane, Global stability analysis for a generalized delayed SIR model with vaccination and treatment, Adv. Differ. Equat., 1 (2019), 1–19.
    [16] R. P. Sigdel, C. C. McCluskey, Global stability for an SEI model of infectious disease with immigration, App. Math. Comput., 243 (2014), 684-689. doi: 10.1016/j.amc.2014.06.020
    [17] T. Zhang, J. Liu, X. Teng, Stability of Hopf bifurcation of a delayed SIRS epidemic model with stage structure, Nonlinear Anal. Real World Appl., 11 (2010), 293–306. doi: 10.1016/j.nonrwa.2008.10.059
    [18] C. Celik, The stability and Hopf bifurcation for a predator–prey system with time delay, Chaos Solit. Fract., 37 (2019), 139–148.
    [19] S. Djilali, Impact of prey herd shape on the predator-prey interaction, Chaos Solit. Fract., 120 (2019), 139–148. doi: 10.1016/j.chaos.2019.01.022
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