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COVID19-Tracker: A shiny app to produce comprehensive data visualization for SARS-CoV-2 epidemic in Spain
Aurelio Tobias; Joan Valls; Pau Satorra; Cristian Tebe.
Afiliación
  • Aurelio Tobias; Spanish Council for Scientific Research (CSIC)
  • Joan Valls; Universitat Autonoma de Barcelona (UAB)
  • Pau Satorra; Institut Investigacio Biomedica de Bellvitge (IDIBELL)
  • Cristian Tebe; Institut Investigacio Biomedica de Bellvitge (IDIBELL)
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20049684
ABSTRACT
Data visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of the SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases, and mortality from February 24th, 2020 onwards. Several analyses have been developed to visualize data trends and estimating short-term projections; to estimate the case fatality rate; to assess the effect of the lockdown measures on the trends of incident data; to estimate infection time and the basic reproduction number; and to analyse the excess of mortality. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Idioma: En Año: 2020 Tipo del documento: Preprint