Open Access
ARTICLE
Stochastic Numerical Analysis for Impact of Heavy Alcohol Consumption on Transmission Dynamics of Gonorrhoea Epidemic
Kamaleldin Abodayeh1, Ali Raza2, *, Muhammad Shoaib Arif2, Muhammad Rafiq3, Mairaj Bibi4, Muhammad Mohsin5
1 Department of Mathematics and General Sciences, Prince Sultan University, Riyadh, Saudi Arabia.
2 Stochatic Analysis & Optimization Research Group, Department of Mathematics, Air University, PAF
Complex E-9, Islamabad, 44000, Pakistan.
3 Faculty of Engineering University of Central Punjab, Lahore, Pakistan.
4 Department of Mathematics, Comsats University, Chak Shahzad Campus park road, Islamabad, Pakistan.
5 Department of Mathematics, Uppsala University, Uppsala, Sweden.
* Corresponding Author: Kamaleldin Abodayeh. Email: .
Computers, Materials & Continua 2020, 62(3), 1125-1142. https://doi.org/10.32604/cmc.2020.08885
Abstract
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.
Keywords
Cite This Article
K. Abodayeh, A. Raza, M. Shoaib Arif, M. Rafiq, M. Bibi
et al., "Stochastic numerical analysis for impact of heavy alcohol consumption on transmission dynamics of gonorrhoea epidemic,"
Computers, Materials & Continua, vol. 62, no.3, pp. 1125–1142, 2020. https://doi.org/10.32604/cmc.2020.08885
Citations