Time Series Analysis of COVID-19 Waves in India for Social Good

Nallam, LSD; Sankati, S; Thakkar, HK; Singh, P

Time Series Analysis of COVID-19 Waves in India for Social Good

Nallam, LSD Sankati, S Thakkar, HK Singh, P

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Publisher:: Springer Nature
Publication Type:: Chapter
Citation:: Studies in Computational Intelligence, 2022, 1024, pp. 401-415
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Nallam, LSD
dc.contributor.author	Sankati, S
dc.contributor.author	Thakkar, HK
dc.contributor.author	Singh, P
dc.date.accessioned	2023-03-17T20:30:39Z
dc.date.available	2023-03-17T20:30:39Z
dc.date.issued	2022-01-01
dc.identifier.citation	Studies in Computational Intelligence, 2022, 1024, pp. 401-415
dc.identifier.isbn	9789811910753
dc.identifier.uri	http://hdl.handle.net/10453/167526
dc.description.abstract	In the past decade, the world has seen rapid advancements in the field of healthcare services due to the state of the arts in technologies. Several real-time health monitoring applications and products are designed to assist the human to take the timely precautionary measures to avoid the unseen abnormalities. However, current healthcare monitoring infrastructures are not ready to provide efficient health services during the sudden and unknown pandemic situations such as COVID-19. The COVID-19 started in the later part of 2019, rapidly spread across the countries and labeled as a pandemic in the very early part of the 2020. Several people died due to the lack of the healthcare infrastructure and lack of access to health facilities. This book chapter explores the various technologies such as augmented reality, connected e-health along with the time series analysis of COVID-19 waves in India to know the implication of COVID-19 on society for a social good.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Studies in Computational Intelligence
dc.relation.ispartofseries	Studies in Computational Intelligence
dc.relation.isbasedon	10.1007/978-981-19-1076-0_20
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Time Series Analysis of COVID-19 Waves in India for Social Good
dc.type	Chapter
utslib.citation.volume	1024
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-17T20:30:38Z
pubs.publication-status	Published
pubs.volume	1024

Abstract:

In the past decade, the world has seen rapid advancements in the field of healthcare services due to the state of the arts in technologies. Several real-time health monitoring applications and products are designed to assist the human to take the timely precautionary measures to avoid the unseen abnormalities. However, current healthcare monitoring infrastructures are not ready to provide efficient health services during the sudden and unknown pandemic situations such as COVID-19. The COVID-19 started in the later part of 2019, rapidly spread across the countries and labeled as a pandemic in the very early part of the 2020. Several people died due to the lack of the healthcare infrastructure and lack of access to health facilities. This book chapter explores the various technologies such as augmented reality, connected e-health along with the time series analysis of COVID-19 waves in India to know the implication of COVID-19 on society for a social good.

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http://hdl.handle.net/10453/167526