How Data is Helping to Fight COVID-19 Pandemic

Early in 2020, the COVID-19 pandemic emerged as a global public health concern requiring urgent attention, concerted efforts and intervention to avoid catastrophe. This necessitated optimal use of fast-emerging data to be analysed to draw out inferences that would shape our response. World Health...

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Autores principales:	Harsh Arvind Athavale, Sunita Arvind Athavale, Amey Subodh Pathak, Tanmay Subodh Pathak
Formato:	article
Lenguaje:	EN
Publicado:	JCDR Research and Publications Private Limited 2021
Materias:	algorithms artificial intelligence data analytics privacy Medicine R
Acceso en línea:	https://doaj.org/article/eb5d1e95fff34cb2ba889ea5f2cbceb0
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spelling	oai:doaj.org-article:eb5d1e95fff34cb2ba889ea5f2cbceb02021-11-10T15:35:17ZHow Data is Helping to Fight COVID-19 Pandemic10.7860/JCDR/2021/49455.154062249-782X0973-709Xhttps://doaj.org/article/eb5d1e95fff34cb2ba889ea5f2cbceb02021-09-01T00:00:00Zhttps://www.jcdr.net/articles/PDF/15406/49455_301021_49455_CE[Ra1]_F(SL)_PF1(SY_SH)_PFA(AB_KM)_PN(KM)_PF2(AVG_SH_AnK)%20(1).pdfhttps://doaj.org/toc/2249-782Xhttps://doaj.org/toc/0973-709XEarly in 2020, the COVID-19 pandemic emerged as a global public health concern requiring urgent attention, concerted efforts and intervention to avoid catastrophe. This necessitated optimal use of fast-emerging data to be analysed to draw out inferences that would shape our response. World Health Organisation (WHO) called this pandemic an infodemic where data played a crucial role. This paper reviews how data from varied sources and different types helped delay the outbreak, limit the spread, initiate social and public health measures, decide treatment regimes, optimise healthcare infrastructure and human resources and helped to initiate a multipronged strategy with emerging evidence for further course correction as the world progressed through the pandemic. The classical mathematical tools, i.e., Susceptible-Infected-Recovered (SIR) model and its variants, were the primary analytical techniques utilised to analyse such data. However, newer data analytical techniques utilising artificial intelligence and machine learning, were also extensively used. These techniques have the capability to handle large quantities of data and develop prediction models of various emerging situations that offer foreknowledge for policymakers and provide solutions. Data Science has witnessed a leap in the past few years, and the way it helped shape our response to this pandemic is a testimony to the promise that it holds for humankind.Harsh Arvind AthavaleSunita Arvind AthavaleAmey Subodh PathakTanmay Subodh PathakJCDR Research and Publications Private Limitedarticlealgorithmsartificial intelligencedata analyticsprivacyMedicineRENJournal of Clinical and Diagnostic Research, Vol 15, Iss 9, Pp LE01-LE05 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	algorithms artificial intelligence data analytics privacy Medicine R
spellingShingle	algorithms artificial intelligence data analytics privacy Medicine R Harsh Arvind Athavale Sunita Arvind Athavale Amey Subodh Pathak Tanmay Subodh Pathak How Data is Helping to Fight COVID-19 Pandemic
description	Early in 2020, the COVID-19 pandemic emerged as a global public health concern requiring urgent attention, concerted efforts and intervention to avoid catastrophe. This necessitated optimal use of fast-emerging data to be analysed to draw out inferences that would shape our response. World Health Organisation (WHO) called this pandemic an infodemic where data played a crucial role. This paper reviews how data from varied sources and different types helped delay the outbreak, limit the spread, initiate social and public health measures, decide treatment regimes, optimise healthcare infrastructure and human resources and helped to initiate a multipronged strategy with emerging evidence for further course correction as the world progressed through the pandemic. The classical mathematical tools, i.e., Susceptible-Infected-Recovered (SIR) model and its variants, were the primary analytical techniques utilised to analyse such data. However, newer data analytical techniques utilising artificial intelligence and machine learning, were also extensively used. These techniques have the capability to handle large quantities of data and develop prediction models of various emerging situations that offer foreknowledge for policymakers and provide solutions. Data Science has witnessed a leap in the past few years, and the way it helped shape our response to this pandemic is a testimony to the promise that it holds for humankind.
format	article
author	Harsh Arvind Athavale Sunita Arvind Athavale Amey Subodh Pathak Tanmay Subodh Pathak
author_facet	Harsh Arvind Athavale Sunita Arvind Athavale Amey Subodh Pathak Tanmay Subodh Pathak
author_sort	Harsh Arvind Athavale
title	How Data is Helping to Fight COVID-19 Pandemic
title_short	How Data is Helping to Fight COVID-19 Pandemic
title_full	How Data is Helping to Fight COVID-19 Pandemic
title_fullStr	How Data is Helping to Fight COVID-19 Pandemic
title_full_unstemmed	How Data is Helping to Fight COVID-19 Pandemic
title_sort	how data is helping to fight covid-19 pandemic
publisher	JCDR Research and Publications Private Limited
publishDate	2021
url	https://doaj.org/article/eb5d1e95fff34cb2ba889ea5f2cbceb0
work_keys_str_mv	AT harsharvindathavale howdataishelpingtofightcovid19pandemic AT sunitaarvindathavale howdataishelpingtofightcovid19pandemic AT ameysubodhpathak howdataishelpingtofightcovid19pandemic AT tanmaysubodhpathak howdataishelpingtofightcovid19pandemic
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How Data is Helping to Fight COVID-19 Pandemic

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