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COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic

Authors: Cristian Tebé; Joan Valls; Pau Satorra; Aurelio Tobías;

COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic

Abstract

Abstract Background Data analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance. Results Data on COVID-19 diagnosed cases and mortality, from January 1st, 2020, onwards is collected automatically from the European Centre for Disease Prevention and Control (ECDC). We have developed a Shiny application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using ECDC data. A country-specific tool for basic epidemiological surveillance, in an interactive and user-friendly manner. The available analyses cover time trends and projections, attack rate, population fatality rate, case fatality rate, and basic reproduction number. 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 may help for a better understanding of the SARS-CoV-2 epidemic worldwide.

Country
Spain
Keywords

Case fatality rate, Medicine (General), Pneumonia, Viral, Epidemic, Coronavirus infections, http://metadata.un.org/sdg/3, Global Health, Infeccions per coronavirus, Poisson regression, Betacoronavirus, R5-920, Mortalitat, Humans, Mortality, Pandemics, Mortatlity rate, Ensure healthy lives and promote well-being for all at all ages, Internet, Data visualization, SARS-CoV-2, Data Visualization, Incidence, COVID-19, Computational Biology, Mortality rate, Basic reproduction number, Europe, Population Surveillance, Coronavirus Infections, Software, Algorithms

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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
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24
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77
106
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