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http://hdl.handle.net/2445/173355
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DC Field | Value | Language |
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dc.contributor.author | Tebé, Cristian | - |
dc.contributor.author | Valls, Joan | - |
dc.contributor.author | Satorra Herbera, Pau | - |
dc.contributor.author | Tobías, Aurelio | - |
dc.date.accessioned | 2021-01-25T09:03:04Z | - |
dc.date.available | 2021-01-25T09:03:04Z | - |
dc.date.issued | 2020-09-21 | - |
dc.identifier.uri | http://hdl.handle.net/2445/173355 | - |
dc.description.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. | - |
dc.format.extent | 7 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | BioMed Central | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1186/s12874-020-01121-9 | - |
dc.relation.ispartof | BMC Medical Research Methodology, 2020, vol. 20 | - |
dc.relation.uri | https://doi.org/10.1186/s12874-020-01121-9 | - |
dc.rights | cc by (c) Tebé et al., 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | - |
dc.source | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) | - |
dc.subject.classification | COVID-19 | - |
dc.subject.classification | Infeccions per coronavirus | - |
dc.subject.classification | Mortalitat | - |
dc.subject.classification | SARS-CoV-2 | - |
dc.subject.other | COVID-19 | - |
dc.subject.other | Coronavirus infections | - |
dc.subject.other | Mortality | - |
dc.subject.other | SARS-CoV-2 | - |
dc.title | COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.date.updated | 2021-01-25T08:03:47Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 32958001 | - |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
This item is licensed under a Creative Commons License