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

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 Euro...

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Detalles Bibliográficos
Autores: Tebé, Cristian, Valls Marsal, Joan, Satorra, Pau, Tobías, Aurelio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/467297
Acceso en línea:https://doi.org/10.1186/s12874-020-01121-9
https://hdl.handle.net/10459.1/467297
Access Level:acceso abierto
Palabra clave:SARS-CoV-2
COVID-19
Epidemic
Data visualization
Poisson regression
Mortality rate
Case fatality rate
Basic reproduction number
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spelling COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemicTebé, CristianValls Marsal, JoanSatorra, PauTobías, AurelioSARS-CoV-2COVID-19EpidemicData visualizationPoisson regressionMortality rateCase fatality rateBasic reproduction numberBackground: 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.BioMed Central2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1186/s12874-020-01121-9https://hdl.handle.net/10459.1/467297reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1186/s12874-020-01121-9Bmc Medical Research Methodology, 2020, vol. 20, núm. 1cc-by (c) Tebé, Cristian et al., 2020info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/4672972026-05-29T05:05:01Z
dc.title.none.fl_str_mv COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
title COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
spellingShingle COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
Tebé, Cristian
SARS-CoV-2
COVID-19
Epidemic
Data visualization
Poisson regression
Mortality rate
Case fatality rate
Basic reproduction number
title_short COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
title_full COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
title_fullStr COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
title_full_unstemmed COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
title_sort COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
dc.creator.none.fl_str_mv Tebé, Cristian
Valls Marsal, Joan
Satorra, Pau
Tobías, Aurelio
author Tebé, Cristian
author_facet Tebé, Cristian
Valls Marsal, Joan
Satorra, Pau
Tobías, Aurelio
author_role author
author2 Valls Marsal, Joan
Satorra, Pau
Tobías, Aurelio
author2_role author
author
author
dc.subject.none.fl_str_mv SARS-CoV-2
COVID-19
Epidemic
Data visualization
Poisson regression
Mortality rate
Case fatality rate
Basic reproduction number
topic SARS-CoV-2
COVID-19
Epidemic
Data visualization
Poisson regression
Mortality rate
Case fatality rate
Basic reproduction number
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1186/s12874-020-01121-9
https://hdl.handle.net/10459.1/467297
url https://doi.org/10.1186/s12874-020-01121-9
https://hdl.handle.net/10459.1/467297
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1186/s12874-020-01121-9
Bmc Medical Research Methodology, 2020, vol. 20, núm. 1
dc.rights.none.fl_str_mv cc-by (c) Tebé, Cristian et al., 2020
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Tebé, Cristian et al., 2020
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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