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Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19

When coronavirus hit, it caught mankind at the disadvantage of ignorance to its influence, and before the knowledge was realized the world was hit with another pandemic. After having overcome epidemics unheard of, the challenge lies in facing yet an added virus that poses a threat to the human speci...

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Autores principales: Sharma, Mayank, Narang, Kabir, Makhija, Shubham, Joy, Deborah T., Gupta, Neeraj, Gupta, Rashmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988943/
http://dx.doi.org/10.1016/B978-0-323-90769-9.00015-3
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author Sharma, Mayank
Narang, Kabir
Makhija, Shubham
Joy, Deborah T.
Gupta, Neeraj
Gupta, Rashmi
author_facet Sharma, Mayank
Narang, Kabir
Makhija, Shubham
Joy, Deborah T.
Gupta, Neeraj
Gupta, Rashmi
author_sort Sharma, Mayank
collection PubMed
description When coronavirus hit, it caught mankind at the disadvantage of ignorance to its influence, and before the knowledge was realized the world was hit with another pandemic. After having overcome epidemics unheard of, the challenge lies in facing yet an added virus that poses a threat to the human species, the coronavirus disease, also known as COVID-19 [World Health Organization]. From the first established case of coronavirus in China found in the city of Wuhan to the first recorded coronavirus death, everyone has been looking for ways to tackle it. So let us take a look at how to deal with something that has the advantage of confining people to their homes and promises to be there for another decade or so and how to use the data that it gives as an advantage. This chapter will be taking a walk through the build and shift of COVID-19, then statistically measure its movement using data analysis and processing, assess its guise via image processing, and then go over some effective perspectives to keep this virus in check. Now, there is so much of COVID-19 data around, surmounting the ability to fathom it, so let us try and manipulate this data to find methods to nip it at the bud.
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spelling pubmed-89889432022-04-11 Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19 Sharma, Mayank Narang, Kabir Makhija, Shubham Joy, Deborah T. Gupta, Neeraj Gupta, Rashmi Data Science for COVID-19 Article When coronavirus hit, it caught mankind at the disadvantage of ignorance to its influence, and before the knowledge was realized the world was hit with another pandemic. After having overcome epidemics unheard of, the challenge lies in facing yet an added virus that poses a threat to the human species, the coronavirus disease, also known as COVID-19 [World Health Organization]. From the first established case of coronavirus in China found in the city of Wuhan to the first recorded coronavirus death, everyone has been looking for ways to tackle it. So let us take a look at how to deal with something that has the advantage of confining people to their homes and promises to be there for another decade or so and how to use the data that it gives as an advantage. This chapter will be taking a walk through the build and shift of COVID-19, then statistically measure its movement using data analysis and processing, assess its guise via image processing, and then go over some effective perspectives to keep this virus in check. Now, there is so much of COVID-19 data around, surmounting the ability to fathom it, so let us try and manipulate this data to find methods to nip it at the bud. 2022 2022-01-14 /pmc/articles/PMC8988943/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00015-3 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
Sharma, Mayank
Narang, Kabir
Makhija, Shubham
Joy, Deborah T.
Gupta, Neeraj
Gupta, Rashmi
Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
title Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
title_full Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
title_fullStr Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
title_full_unstemmed Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
title_short Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
title_sort data interpretation leading to image processing: a hybrid perspective to a global pandemic, covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988943/
http://dx.doi.org/10.1016/B978-0-323-90769-9.00015-3
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