BMC Medical Research Methodology | |
COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic | |
Pau Satorra1  Cristian Tebé1  Joan Valls2  Aurelio Tobías3  | |
[1] Biostatistics Unit, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospitalet de Llobregat, 199 08908 L’Hospitalet de Llobregat, Barcelona, Spain;Department of Mathematics, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain;Institute of Environmental Assessment and Water Research (IDEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain; | |
关键词: SARS-CoV-2; COVID-19; Epidemic; Data visualization; Poisson regression; Mortality; Mortality rate; Case fatality rate; Basic reproduction number; | |
DOI : 10.1186/s12874-020-01121-9 | |
来源: Springer | |
【 摘 要 】
BackgroundData analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance.ResultsData 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.ConclusionsThe 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.
【 授权许可】
CC BY
【 预 览 】
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RO202104240486444ZK.pdf | 1668KB | download |