STOCHASTIC NUMERICAL ANALYSIS FOR IMPACT OF HEAVY ALCOHOL CONSUMPTION ON TRANSMISSION DYNAMICS OF GONORRHOEA EPIDEMIC
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. 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.
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