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COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic

Cristian Tebé, Joan Valls, Pau Satorra, Aurelio Tobı́as

2020BMC Medical Research Methodology30 citationsDOIOpen Access PDF

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.

Topics & Concepts

Case fatality rateEpidemiologyVisualizationCoronavirus disease 2019 (COVID-19)Data visualizationPopulationMedicinePandemicEnvironmental healthDisease surveillanceDiseaseData scienceComputer scienceInfectious disease (medical specialty)Data miningPathologyCOVID-19 epidemiological studiesData Visualization and AnalyticsData-Driven Disease Surveillance
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