Estimating hidden models and trends in COVID-19 Infected cases

Abstract

The main aim of the present investigation is to estimate the hidden models and trends in COVID-19 infected cases in all the thirty seven district of from the period from 1st August,2020 to 31st December, 2020. Different statistical curve fitting tools like, Linear, Quadratic, S-Curve, Simple Exponential Smoothing, Holt’s Linear Exponential, Brown’s Linear Exponential Smoothing and Auto Regressive Integrated Moving Average models were employed to study the COVID-19 infected trends and it’s future predictions.