Mapping First to Third Wave Transition of Covid19 Indian Data via Sigmoid Function

ABSTRACT

Understanding first and second wave of covid19 Indian data along with its few selective states, we have realized a transition between two Sigmoid pattern with twice larger growth parameter and maximum values of cumulative data. As a result of those transition, time duration of second wave shrink to half of that first wave with four times larger peak values. Realizing first and second wave Sigmoid pattern due to covid19 virus and its mutated variant— δ virus respectively, third wave was mapped by another Sigmoid pattern with three times larger growth parameter than that of first wave. After understanding the crossing zone among first, second and third wave curves due to covid19, δ and omicron respectively, a hidden Sigmoid pattern due to mutated δ+ virus is identified in between δ and omicron. It is really interesting that entire covid19 data of India can be easily (offcourse grossly) understood by simple algebraic expressions of Sigmoid function and we can identify 4 Sigmoid patterns due to covid19 virus and its 3 dominant variants. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.