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

BMC Med Res Methodol. 2020 Sep 21;20(1):235. doi: 10.1186/s12874-020-01121-9.

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.

Keywords: Basic reproduction number; COVID-19; Case fatality rate; Data visualization; Epidemic; Mortality; Mortality rate; Poisson regression; SARS-CoV-2.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Betacoronavirus / isolation & purification*
  • Betacoronavirus / physiology
  • COVID-19
  • Computational Biology / methods
  • Computational Biology / statistics & numerical data*
  • Coronavirus Infections / epidemiology*
  • Coronavirus Infections / transmission
  • Coronavirus Infections / virology
  • Data Visualization*
  • Europe / epidemiology
  • Global Health / statistics & numerical data
  • Humans
  • Incidence
  • Internet
  • Pandemics*
  • Pneumonia, Viral / epidemiology*
  • Pneumonia, Viral / transmission
  • Pneumonia, Viral / virology
  • Population Surveillance / methods
  • SARS-CoV-2