Shiny Dashboard for Monitoring the COVID-19 Pandemic in Spain
| UDC.coleccion | Investigación | es_ES |
| UDC.conferenceTitle | 3rd XoveTIC Conference; A Coruña, Spain; 8–9 October 2020 | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.grupoInv | Redes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR) | es_ES |
| UDC.issue | 1 | es_ES |
| UDC.journalTitle | Proceedings | es_ES |
| UDC.startPage | 23 | es_ES |
| UDC.volume | 54 | es_ES |
| dc.contributor.author | Fernández-Lozano, Carlos | |
| dc.contributor.author | Cedrón, Francisco | |
| dc.date.accessioned | 2020-10-21T17:15:40Z | |
| dc.date.available | 2020-10-21T17:15:40Z | |
| dc.date.issued | 2020-08-20 | |
| dc.description.abstract | [Abstract] Real-time monitoring of events such as the recent pandemic caused by COVID-19, as well as the visualization of the effects produced by its expansion, has highlighted the need to join forces in fields already widely used to working hand in hand, such as medicine, biology and information technology. Our dashboard is developed in R and is supported by the Shiny package to generate an attractive visualization tool: COVID-19 Spain automatically produces daily updates from official sources (Carlos III Research Institute and Ministry of Health, Consumer Affairs and Welfare) in cases, deaths, recovered, ICU admissions and accumulated daily incidence. In addition, it shows on a georeferenced map the evolution of active, new and accumulated cases by autonomous community allowing to travel in time from the origin to the last available day, which allows to visualize the expansion of infections and serves as a visual support for epidemiological studies. | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431D 2017/16 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2018/49 | es_ES |
| dc.identifier.citation | Fernandez-Lozano, C.; Cedron, F. Shiny Dashboard for Monitoring the COVID-19 Pandemic in Spain. Proceedings 2020, 54, 23. | es_ES |
| dc.identifier.doi | 10.3390/proceedings2020054023 | |
| dc.identifier.issn | 2504-3900 | |
| dc.identifier.uri | http://hdl.handle.net/2183/26499 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI AG | es_ES |
| dc.relation.uri | https://doi.org/10.3390/proceedings2020054023 | es_ES |
| dc.rights | Atribución 4.0 España | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | * |
| dc.subject | COVID-19 | es_ES |
| dc.subject | R | es_ES |
| dc.subject | Shiny | es_ES |
| dc.subject | Monitoring | es_ES |
| dc.title | Shiny Dashboard for Monitoring the COVID-19 Pandemic in Spain | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | e5ddd06a-3e7f-4bf4-9f37-5f1cf3d3430a | |
| relation.isAuthorOfPublication | c4435437-f4af-4d4e-b540-21f805457be2 | |
| relation.isAuthorOfPublication.latestForDiscovery | e5ddd06a-3e7f-4bf4-9f37-5f1cf3d3430a |
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