Open AccessPredictive COVID Analysis
Author(s) -
Pooja Kapse,
Akshay Bramhankar,
Piyush Timande,
Sanskruti Rewatkar
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2681
Subject(s) - covid-19 , pandemic , destiny (iss module) , social distance , harm , demography , geography , history , development economics , psychology , medicine , sociology , virology , economics , engineering , social psychology , outbreak , disease , pathology , infectious disease (medical specialty) , aerospace engineering
In this paper, we've got were given analysed the COVID-19 development in India and the 3 maximum affected Indian states as of 29-Aug-20 and advanced a prediction version to forecast the behaviour of COVID-19 unfold withinside the destiny months. We used time collection data for India and implemented the Susceptible Infective-Removed (SIR) version and the FbProphet version to anticipate the height infectives and top infective date for India and the 3 maximum affected states. In this paper, we further done the comparative evaluation of the prediction results from SIR and FbProphet models. From this study, we concluded that with the idea that an entire five% of India's populace is probably inflamed via the pandemic, the country wide unfold is forecasted to benefit its top via the end of Nov-20. And until the time there can be no vaccination, for the states which have already reached their top and with festivals in the course of the corner, there are excessive opportunities of resurgence in the kind of instances if the social distancing and unique control measures aren't observed diligently withinside the imminent months. [15] People over the age of sixty five are much more likely to revel in extreme symptoms. Some individuals For months following recuperation, you'll be managing an entire lot of aspect effects (extended COVID), further to harm.