An Extensive Time Series Analysis of Covid-19 Data Sets on the Indian States
subject: Covid-19; Pandemic control; SIR model; Socio-economic impacts
description: Pandemic influenza coronavirus is causing a great loss to mankind. It is creating a chaos on the global economy. Fight against this unseen enemy is affecting all the sectors of the global economy. Mankind is quivering with fear and scared to do something. This study gives a detailed presentation of the current position of virus escalation in India. Sentiment analytics from Twitter data is evaluated on sentiment, emotions and fear opinions are analyzed in the study. The analysis is on red, orange and green zones in several states of India and also gave a comprehensive interpretation on various phases of lockdown. Confirmed, active, recovered and deceased cases in all states are modeled to predict the increase of number of cases. Textual, geographical and graphical analytics are extensively described in the research study. Time series analysis is broadly elaborated as a case study till July 22, 2020, forecasting the impact of virus on Maharashtra, Kerala, Gujarat, Delhi and Tamil Nadu. This study will favor the administrative system to control the disease spread across the nation. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
creator: Lakshmi J.V.N.; Bhagat V.
source: Infosys Science Foundation Series in Mathematical Sciences, pp. 577-598.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 23644036
format: Online
language: English
type: Book chapter
coverage: Lakshmi J.V.N., JAIN (Deemed to be University), Bangalore, India; Bhagat V., CHRIST (Deemed to be University), Bangalore, India