COVID19-Tracker : a shiny app to analise data on SARS-CoV-2 epidemic in Spain
© 2020 SESPAS. Published by Elsevier España, S.L.U..
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 24th, 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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:35 |
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| Enthalten in: |
Gaceta sanitaria - 35(2021), 1 vom: 08. Jan., Seite 99-101 |
| Sprache: |
Spanisch |
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| Weiterer Titel: |
COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España |
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| Beteiligte Personen: |
Valls, Joan [VerfasserIn] |
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| Links: |
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| Themen: |
Data visualization |
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| Anmerkungen: |
Date Completed 16.02.2021 Date Revised 16.02.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.gaceta.2020.04.002 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM309997704 |
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| 520 | |a 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 24th, 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 | ||
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