Possibilities of exponential or Sigmoid growth of Covid19 data in different states of India

SUPRIYA MONDAL; Sabyasachi Ghosh

In recent time, epidemic dynamics of covid19 have been described in Refs [5, 6] through the Sigmoid-type logistic function. Similar kind of phenomenological investigation is initiated by Ref. [7] through renormalization group inspired logistic function. The epidemiology study on covid19 data of India is started by few Refs. [8, 4] , which should be rapidly grown by other theoretical groups for better and critical understanding. In that context, present work have attempted to provide initial quantitative documentation, which probably invite more future works. The article is organized as follows. Next section (2) , we have addressed the mathematical framework part of simple form of exponential and Sigmoid-type function. Then results of different states are analyzed through graphical representations in Sec. (3) . Brief bullet points of different states are mentioned in their respective subsections. At the end, we have summarized the study with extracting interpretation in Sec. (4).