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Stochastic Numerical Analysis for Impact of Heavy Alcohol Consumption on Transmission Dynamics of Gonorrhoea Epidemic

机译:大量饮酒对淋病流行传播动力学影响的随机数值分析

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摘要

This paper aims to perform a comparison of deterministic and stochastic models. The stochastic modelling is a more realistic way to study the dynamics of gonorrhoea infection as compared to its corresponding deterministic model. Also, the deterministic solution is itself mean of the stochastic solution of the model. For numerical analysis, first, we developed some explicit stochastic methods, but unfortunately, they do not remain consistent in certain situations. Then we proposed an implicitly driven explicit method for stochastic heavy alcohol epidemic model. The proposed method is independent of the choice of parameters and behaves well in all scenarios. So, some theorems and simulations are presented in support of the article.
机译:本文旨在对确定性模型和随机模型进行比较。与淋病的相应确定性模型相比,随机模型是研究淋病感染动力学的更现实的方法。同样,确定性解决方案本身就是模型的随机解决方案的平均值。对于数值分析,首先,我们开发了一些显式的随机方法,但不幸的是,它们在某些情况下并不一致。然后,我们提出了一种隐式驱动显式方法用于随机重酒精流行模型。所提出的方法与参数的选择无关,并且在所有情况下都表现良好。因此,本文提供了一些定理和模拟。

著录项

  • 来源
    《Computers, Materials & Continua》 |2020年第3期|1125-1142|共18页
  • 作者

  • 作者单位

    Department of Mathematics and General Sciences Prince Sultan University Riyadh Saudi Arabia;

    Stochatic Analysis & Optimization Research Group Department of Mathematics Air University PAF Complex E-9 Islamabad 44000 Pakistan;

    Faculty of Engineering University of Central Punjab Lahore Pakistan;

    Department of Mathematics Comsats University Chak Shahzad Campus park road Islamabad Pakistan;

    Department of Mathematics Uppsala University Uppsala Sweden;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Heavy alcohol model; stochastic techniques; stability analysis;

    机译:重酒精模型;随机技术;稳定性分析;

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