We used the data of cumulative confirmed death and recovery of COVID-19 cases reported from
January 21 until March 26, 2020, that were obtained from John Hopkins Coronavirus resource
center (https://coronavirus.jhu.edu/).By using GIS and Remote sensing to determine the epidemic mapping and
analyzing the upcoming effects of COVID-19.The use of another
statistical analysis is a generalized logistic growth model (GLM), which generally depicted as a
scaling parameter of integrating an additional result-oriented value put method [11].After standardizing all the models, the data of the top 20 countries were included to analyze the
forecasting models of differential spatial adjacent, and projected trajectories are analyzed up to
April 30, 2020.VAR
model (Vector Auto Average) model is used to predict the spatial extinct while using remote
sensing data and for the purpose of creation of GIS map of worldwide on three different
variables [9].Some
epidemic models used in disease epidemic conditions measure oscillates some multiple peak
parameters inferred in sub-epidemic and pandemic conditions to determine the projected
outcomes [12].medRxiv preprint doi: https://doi.org/10.1101/2020.03.30.20046227.