@Article{cmc.2020.08885,
AUTHOR = {Kamaleldin Abodayeh, Ali Raza, Muhammad Shoaib Arif, Muhammad Rafiq, Mairaj Bibi, Muhammad Mohsin},
TITLE = {Stochastic Numerical Analysis for Impact of Heavy Alcohol Consumption on Transmission Dynamics of Gonorrhoea Epidemic},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {62},
YEAR = {2020},
NUMBER = {3},
PAGES = {1125--1142},
URL = {http://www.techscience.com/cmc/v62n3/38345},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2020.08885}
}