The COVID-19 pandemic and its rapid development within a few weeks place completely new demands on the analysis of infection statistics.

CoronaVis provides interactive visualizations through which case incidences and bed capacities of intensive care units (ICUs) across Germany can be analyzed.

CoronaVis is primarily designed to support physicians, crisis teams, and medical decisionmakers and to enable informed decisions, for example, on patient distribution in the event of impending overload. CoronaVis scales from the local to the national level through flexible aggregation capabilities.

This paper introduces the analytics capabilities of CoronaVis and takes a closer look at the power of interactive visualizations in supporting dynamic situations.

@article{jentner:2023:coronavis,
  author    = {Wolfgang Jentner and Fabian Sperrle and 
               Daniel Seebacher and Matthias Kraus and 
               Rita Sevastjanova and Maximilian T. Fischer and 
               Udo Schlegel and Dirk Streeb and 
               Matthias Miller and Thilo Spinner and 
               Eren Cakmak and Matthew Sharinghousen and 
               Philipp Meschenmoser and Jochen Görtler and 
               Oliver Deussen and Florian Stoffel and 
               Hans-Joachim Kabitz and Daniel A. Keim and 
               Mennatallah El-Assady and Juri F. Buchmüller},
  title     = {{Visualization of COVID-19 Incidences and Treatment Capacities with CoronaVis}},
  journal   = {Proc. of the Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes), 2023},
  volume    = {XX},
  number    = {X},
  pages     = {XXX--XXX},
  year      = {2023}
}