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vel based on mean square error up to 1E-25, which further validates the stability and consistence of bimodal proposed model. This computational technique is shown extraordinary results in terms of accuracy and convergence. The outcomes of this study will be useful in forecasting the progression of COVID-19, the influence of several deciding parameters overspread of COVID-19 and can help for planning, monitoring as well as preventing the spread of COVID-19. This computational technique is shown extraordinary results in terms of accuracy an
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