Author: Aurelio Tobias; Joan Valls; Pau Satorra; Cristian Tebe
Title: COVID19-Tracker: A shiny app to produce comprehensive data visualization for SARS-CoV-2 epidemic in Spain Document date: 2020_4_6
ID: i1g9ikdb_12
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.01.20049684 doi: medRxiv preprint Figure 2 . Standard output display of the COVID19-Tracker application (results updated to April 8th, 2020), for trend analysis and its 3-day projection at the national level (a) and by age group (b), of the fatality rate (c), and intervention analysis to evaluate the effect of alarm states on incident data (d)......
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.01.20049684 doi: medRxiv preprint Figure 2 . Standard output display of the COVID19-Tracker application (results updated to April 8th, 2020), for trend analysis and its 3-day projection at the national level (a) and by age group (b), of the fatality rate (c), and intervention analysis to evaluate the effect of alarm states on incident data (d).
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