COVID-19 Epidemic Impact on Various Society Sectors

Mohandas V. Pawar, J. Anuradha, Asha M. Pawar, Sudarshan Sanap, Rajneesh Kaur Sachdeo, Kishore Ravande, Jyoti Malhotra, H. R. Bhapkar, Pranav Pawar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

The epidemic of coronavirus disease 2019 (COVID-19) has created a public health problem that deeply impacted our environment and our daily lives. A global epidemic is a worst-case scenario in the world of infectious diseases. The new coronavirus, called COVID-19, is a zoonotic disease originating in China’s Wuhan Province and spreading like wildfires killing people and destroying the global economy. This viral strain continues to be managed by gigantic effort. This has motivated us to analyse the impact and provide solutions. A detailed review of the literature is done on various sectors of society and COVID-19 pandemic impact, providing various solutions using big data and AI, measures to be taken over the impact caused by COVID-19. We found several useful measures over various sectors of society that help prevent and manage COVID-19 epidemic. The available technologies such as artificial intelligence and big data could also help detect and diagnose COVID-19 and other related problems and symptoms. This article, though COVID-19 is still ravaging nations worldwide, is an attempt to summarise the effects of COVID-19 and inspire intellectuals to consider how quickly a nanometer can almost bring down global superpowers. This article is providing various solutions using big data and AI, measures to be taken over the impact caused by COVID-19.

Original languageEnglish
Title of host publicationEAI/Springer Innovations in Communication and Computing
PublisherSpringer Science and Business Media Deutschland GmbH
Pages211-232
Number of pages22
DOIs
StatePublished - 2022

Publication series

NameEAI/Springer Innovations in Communication and Computing
ISSN (Print)2522-8595
ISSN (Electronic)2522-8609

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Keywords

  • AI
  • Big data
  • COVID-19
  • Coronavirus
  • Economy
  • Public sectors

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