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Application of big data in COVID-19 epidemic
The scientific research centered on generating new data by performing basic experiments to answer specific questions related to any infectious diseases. The application of big data in the area of infectious diseases has introduced a number of changes in the information accumulation models using anal...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988924/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00023-2 |
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author | Awotunde, Joseph Bamidele Adeniyi, Emmanuel Abidemi Kolawole, Paul Oluwatoba Ogundokun, Roseline Oluwaseun |
author_facet | Awotunde, Joseph Bamidele Adeniyi, Emmanuel Abidemi Kolawole, Paul Oluwatoba Ogundokun, Roseline Oluwaseun |
author_sort | Awotunde, Joseph Bamidele |
collection | PubMed |
description | The scientific research centered on generating new data by performing basic experiments to answer specific questions related to any infectious diseases. The application of big data in the area of infectious diseases has introduced a number of changes in the information accumulation models using analytics. Therefore this chapter discusses the concept of big data for guaranteeing better expansion and research against coronavirus disease 2019 (COVID-19). The chapter examines how large-volume medical data can help clarify and elucidate COVID-19 disease patterns. Also, the chapter conveys the benefits of big data analytics during COVID-19. The hope of using big data in COVID-19 will have a great impact on the quality of outbreak care that can be delivered to patients across socioeconomic and geographic boundaries. |
format | Online Article Text |
id | pubmed-8988924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-89889242022-04-11 Application of big data in COVID-19 epidemic Awotunde, Joseph Bamidele Adeniyi, Emmanuel Abidemi Kolawole, Paul Oluwatoba Ogundokun, Roseline Oluwaseun Data Science for COVID-19 Article The scientific research centered on generating new data by performing basic experiments to answer specific questions related to any infectious diseases. The application of big data in the area of infectious diseases has introduced a number of changes in the information accumulation models using analytics. Therefore this chapter discusses the concept of big data for guaranteeing better expansion and research against coronavirus disease 2019 (COVID-19). The chapter examines how large-volume medical data can help clarify and elucidate COVID-19 disease patterns. Also, the chapter conveys the benefits of big data analytics during COVID-19. The hope of using big data in COVID-19 will have a great impact on the quality of outbreak care that can be delivered to patients across socioeconomic and geographic boundaries. 2022 2022-01-14 /pmc/articles/PMC8988924/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00023-2 Text en Copyright © 2022 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 Awotunde, Joseph Bamidele Adeniyi, Emmanuel Abidemi Kolawole, Paul Oluwatoba Ogundokun, Roseline Oluwaseun Application of big data in COVID-19 epidemic |
title | Application of big data in COVID-19 epidemic |
title_full | Application of big data in COVID-19 epidemic |
title_fullStr | Application of big data in COVID-19 epidemic |
title_full_unstemmed | Application of big data in COVID-19 epidemic |
title_short | Application of big data in COVID-19 epidemic |
title_sort | application of big data in covid-19 epidemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988924/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00023-2 |
work_keys_str_mv | AT awotundejosephbamidele applicationofbigdataincovid19epidemic AT adeniyiemmanuelabidemi applicationofbigdataincovid19epidemic AT kolawolepauloluwatoba applicationofbigdataincovid19epidemic AT ogundokunroselineoluwaseun applicationofbigdataincovid19epidemic |