Data interpretation and visualization of COVID-19 cases using R programming

BACKGROUND: Data analysis and visualization are essential for exploring and communicating medical research findings, especially when working with COVID records. RESULTS: Data on COVID-19 diagnosed cases and deaths from December 2019 is collected automatically from www.statista.com, datahub.io, and t...

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Autores principales: Rimal, Yagyanath, Gochhait, Saikat, Bisht, Aakriti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404394/
https://www.ncbi.nlm.nih.gov/pubmed/34485681
http://dx.doi.org/10.1016/j.imu.2021.100705
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author Rimal, Yagyanath
Gochhait, Saikat
Bisht, Aakriti
author_facet Rimal, Yagyanath
Gochhait, Saikat
Bisht, Aakriti
author_sort Rimal, Yagyanath
collection PubMed
description BACKGROUND: Data analysis and visualization are essential for exploring and communicating medical research findings, especially when working with COVID records. RESULTS: Data on COVID-19 diagnosed cases and deaths from December 2019 is collected automatically from www.statista.com, datahub.io, and the Multidisciplinary Digital Publishing Institute (MDPI). We have developed an application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using Statista, Data Hub, and MDPI data from densely populated countries like the United States, Japan, and India using R programming. CONCLUSIONS: The COVID19-World online web application systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic worldwide. The application will help with a better understanding of the SARS-CoV-2 epidemic worldwide.
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spelling pubmed-84043942021-08-30 Data interpretation and visualization of COVID-19 cases using R programming Rimal, Yagyanath Gochhait, Saikat Bisht, Aakriti Inform Med Unlocked Article BACKGROUND: Data analysis and visualization are essential for exploring and communicating medical research findings, especially when working with COVID records. RESULTS: Data on COVID-19 diagnosed cases and deaths from December 2019 is collected automatically from www.statista.com, datahub.io, and the Multidisciplinary Digital Publishing Institute (MDPI). We have developed an application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using Statista, Data Hub, and MDPI data from densely populated countries like the United States, Japan, and India using R programming. CONCLUSIONS: The COVID19-World online web application systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic worldwide. The application will help with a better understanding of the SARS-CoV-2 epidemic worldwide. The Authors. Published by Elsevier Ltd. 2021 2021-08-30 /pmc/articles/PMC8404394/ /pubmed/34485681 http://dx.doi.org/10.1016/j.imu.2021.100705 Text en © 2021 The Authors 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
Rimal, Yagyanath
Gochhait, Saikat
Bisht, Aakriti
Data interpretation and visualization of COVID-19 cases using R programming
title Data interpretation and visualization of COVID-19 cases using R programming
title_full Data interpretation and visualization of COVID-19 cases using R programming
title_fullStr Data interpretation and visualization of COVID-19 cases using R programming
title_full_unstemmed Data interpretation and visualization of COVID-19 cases using R programming
title_short Data interpretation and visualization of COVID-19 cases using R programming
title_sort data interpretation and visualization of covid-19 cases using r programming
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404394/
https://www.ncbi.nlm.nih.gov/pubmed/34485681
http://dx.doi.org/10.1016/j.imu.2021.100705
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