Covid-19 Containment Measure Analysis of Global & Indian Data with Predictive Model Comparison

Abstract

In the constant fight with the uncertainty of life and a broken economic and mental stature, machine learning and analysis is striving to identify probable remedies and even trying to predict the future of this hostile situation. Visualisation of treatment procedures, health data and economic data yields an in-depth analysis of the scenario. Remedial measures can be practised based on the predictive outcome. We performed predictive and statistical models like the SEIR for building highly accurate and analytical data outputs and plots for better visualisation of the data. This work aims to analyse the spread of the virus across the world and different regions in India and predict the near future of this pandemic in social, health and economic sectors.

Time Series Facebook Prophet Model and Python for COVID-19 Outbreak Prediction

“…Furthermore, many models have been considered to predict the Coronavirus outbreak such as the retro prediction model, pandemic Kaplan's model and the neural forecasting model [7]. Other research has used the time series-dependent face book prophet Model for COVID-19 prediction in various countries such as India [8,9]. Thus, we proposed a prediction and analysis model to predict the COVID-19 in Saudi Arabia, the time series dependent face book prophet Model is used to t the data and provide future predictions.…”