| Autor: |
Yagyanath Rimal, Saikat Gochhait, PhD & Post Doctoral Fellow, Aakriti Bisht |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Informatics in Medicine Unlocked, Vol 26, Iss , Pp 100705- (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2352-9148 |
| DOI: |
10.1016/j.imu.2021.100705 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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