Application of Modified Logistic Model's for an Analysing COVID-19 Transmission in Bangladesh

Abstract

In Bangladesh, the logistic model is used to examine possible cases of COVID-19. The prototype is ready to spearhead the fight in Bangladesh against the COVID-19 strain. Direct computation with plausible COVID-19 data for Bangladesh from January 1st, 2022, to the end of the month provides the parameters for the model. In addition to a portrayal of the stability of equilibrium and propositions, this includes both a qualitative assessment of the modified logistic model as well as an analysis of the bifurcation of the modified logistic model. As it turns out, there is a wide chasm between the two. In addition to this, it was found that logistic curves were an appropriate way to describe the COVID-19 outbreak that was occurring in Bangladesh. The suggested model predicts Covid-19 duration and peak times in Bangladesh, which is compared to data. In conclusion, a numerical investigation of the logistic model for Corona virus cases in Bangladesh has been estimated, and its graphical representations have been provided. This model has been used to estimate the number of cases in Bangladesh.  It has come to our attention that the cases that were anticipated and the ones that were investigated are extremely similar to one another in a number of important respects.