Resumen

VALLS, Joan; TOBIAS, Aurelio; SATORRA, Pau  y  TEBE, Cristian. COVID19-Tracker: a shiny app to analise data on SARS-CoV-2 epidemic in Spain. Gac Sanit [online]. 2021, vol.35, n.1, pp.99-101.  Epub 22-Nov-2021. ISSN 0213-9111.  https://dx.doi.org/10.1016/j.gaceta.2020.04.002.

Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24th, 2020 onwards. Three applications have already been developed: 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate; and 3) to assess the effect of the lockdowns on the data trends. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain.

Palabras clave : SARS-CoV-2; Data visualization; Web browser; Poisson regression.

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