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COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España
Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SESPAS. Published by Elsevier España, S.L.U.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184003/ https://www.ncbi.nlm.nih.gov/pubmed/32417117 http://dx.doi.org/10.1016/j.gaceta.2020.04.002 |
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author | Valls, Joan Tobías, Aurelio Satorra, Pau Tebé, Cristian |
author_facet | Valls, Joan Tobías, Aurelio Satorra, Pau Tebé, Cristian |
author_sort | Valls, Joan |
collection | PubMed |
description | Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24(th), 2020 onwards. Three applications have already been developed: 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate; and 3) to assess the effect of the lockdowns on the data trends. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain. |
format | Online Article Text |
id | pubmed-7184003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SESPAS. Published by Elsevier España, S.L.U. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71840032020-04-27 COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España Valls, Joan Tobías, Aurelio Satorra, Pau Tebé, Cristian Gac Sanit Nota Metodológica Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24(th), 2020 onwards. Three applications have already been developed: 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate; and 3) to assess the effect of the lockdowns on the data trends. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain. SESPAS. Published by Elsevier España, S.L.U. 2021 2020-04-27 /pmc/articles/PMC7184003/ /pubmed/32417117 http://dx.doi.org/10.1016/j.gaceta.2020.04.002 Text en © 2020 SESPAS. Published by Elsevier España, S.L.U. 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 | Nota Metodológica Valls, Joan Tobías, Aurelio Satorra, Pau Tebé, Cristian COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España |
title | COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España |
title_full | COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España |
title_fullStr | COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España |
title_full_unstemmed | COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España |
title_short | COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España |
title_sort | covid19-tracker: una aplicación shiny para analizar datos de la epidemia de sars-cov-2 en españa |
topic | Nota Metodológica |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184003/ https://www.ncbi.nlm.nih.gov/pubmed/32417117 http://dx.doi.org/10.1016/j.gaceta.2020.04.002 |
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