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COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España

Authors: 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

Abstract

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.

Country
Spain
Keywords

SARS-CoV-2, Data visualization, Nota Metodológica, Public Health, Environmental and Occupational Health, Regresión de Poisson, Visualización de datos, Web browser, Poisson regression, Public aspects of medicine, RA1-1270, Interficie web

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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    download downloads 53
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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
11
Top 10%
Top 10%
Top 10%
38
53
Green
gold