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This chapter presents the usage of data science, which further helps in exploring the global pandemic COVID-19. This disease suppresses an overwhelming burden, not only to healthcare systems but to the world's economy too. In this era of techniques and technologies, it is believed that data sci...

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Detalles Bibliográficos
Autores principales: Yadav, Saneh Lata, Dhaiya, Ritika, Bhatia, Surbhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085314/
http://dx.doi.org/10.1016/B978-0-323-90959-4.00006-7
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author Yadav, Saneh Lata
Dhaiya, Ritika
Bhatia, Surbhi
author_facet Yadav, Saneh Lata
Dhaiya, Ritika
Bhatia, Surbhi
author_sort Yadav, Saneh Lata
collection PubMed
description This chapter presents the usage of data science, which further helps in exploring the global pandemic COVID-19. This disease suppresses an overwhelming burden, not only to healthcare systems but to the world's economy too. In this era of techniques and technologies, it is believed that data science can better utilize scarce healthcare resources. In this chapter, we provide an introduction of data science and its applications, which helps in combating different aspects of COVID-19. Publicly available datasets related to disease are used as community resources. Different kinds of datasets are used to analyze various aspects of pandemic at different scales. These different kinds of datasets can be audio, video, textual, speech, and sensor data. More than hundreds of research articles are also studied to prepare a bibliometric study. Apart from grabbing all the advantages from datasets, this paper highlights a few challenges, such as surety of correct data, need of multidisciplinary collaboration, new data modality, security issues, and availability of data.
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spelling pubmed-80853142021-05-03 Conclusions Yadav, Saneh Lata Dhaiya, Ritika Bhatia, Surbhi Researches and Applications of Artificial Intelligence to Mitigate Pandemics Article This chapter presents the usage of data science, which further helps in exploring the global pandemic COVID-19. This disease suppresses an overwhelming burden, not only to healthcare systems but to the world's economy too. In this era of techniques and technologies, it is believed that data science can better utilize scarce healthcare resources. In this chapter, we provide an introduction of data science and its applications, which helps in combating different aspects of COVID-19. Publicly available datasets related to disease are used as community resources. Different kinds of datasets are used to analyze various aspects of pandemic at different scales. These different kinds of datasets can be audio, video, textual, speech, and sensor data. More than hundreds of research articles are also studied to prepare a bibliometric study. Apart from grabbing all the advantages from datasets, this paper highlights a few challenges, such as surety of correct data, need of multidisciplinary collaboration, new data modality, security issues, and availability of data. 2021 2021-04-30 /pmc/articles/PMC8085314/ http://dx.doi.org/10.1016/B978-0-323-90959-4.00006-7 Text en Copyright © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yadav, Saneh Lata
Dhaiya, Ritika
Bhatia, Surbhi
Conclusions
title Conclusions
title_full Conclusions
title_fullStr Conclusions
title_full_unstemmed Conclusions
title_short Conclusions
title_sort conclusions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085314/
http://dx.doi.org/10.1016/B978-0-323-90959-4.00006-7
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